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The Alcohol Experiment: A 30-day, Alcohol-Free Challenge to Interrupt Your Habits and Help You Take Control Paperback – December 31, 2018
- Print length 352 pages
- Language English
- Publisher Avery
- Publication date December 31, 2018
- Dimensions 5.94 x 0.67 x 8.96 inches
- ISBN-10 0525537252
- ISBN-13 978-0525537250
- See all details
Editorial Reviews
About the author, excerpt. © reprinted by permission. all rights reserved., product details.
- Publisher : Avery (December 31, 2018)
- Language : English
- Paperback : 352 pages
- ISBN-10 : 0525537252
- ISBN-13 : 978-0525537250
- Item Weight : 10.4 ounces
- Dimensions : 5.94 x 0.67 x 8.96 inches
- #591 in Alcoholism Recovery
- #1,399 in Journal Writing Self-Help
- #4,640 in Happiness Self-Help
About the author
Annie grace.
Annie Grace grew up in a one-room log cabin without running water or electricity outside of Aspen, Colorado. She discovered a passion for marketing and after graduating with a Masters of Science (Marketing) she dove into corporate life. At the age of 26, Annie was the youngest vice president in a multinational company, and her drinking career began in earnest. At 35, in a global C-level marketing role, she was responsible for marketing in 28 countries and drinking almost two bottles of wine a night. Knowing she needed a change but unwilling to submit to a life of deprivation and stigma, Annie set out to find a painless way to regain control. Annie no longer drinks and has never been happier. She left her executive role to write this book and share This Naked Mind with the world. In her free time, Annie loves to ski, travel (26 countries and counting), and enjoy her beautiful family. Annie lives with her husband and three children in the Colorado mountains.
Customer reviews
- 5 star 4 star 3 star 2 star 1 star 5 star 81% 10% 5% 2% 1% 81%
- 5 star 4 star 3 star 2 star 1 star 4 star 81% 10% 5% 2% 1% 10%
- 5 star 4 star 3 star 2 star 1 star 3 star 81% 10% 5% 2% 1% 5%
- 5 star 4 star 3 star 2 star 1 star 2 star 81% 10% 5% 2% 1% 2%
- 5 star 4 star 3 star 2 star 1 star 1 star 81% 10% 5% 2% 1% 1%
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Customers say
Customers find the information insightful, thought-provoking, and motivating. They describe the book as awesome, important, and worth reading. Readers also mention it's easy to read and comprehend, with tools that are easy to understand and employ. They say it feels supportive and comforting to connect with people on the same journey. Readers also mention the book is a good read broken down into bite-sized readings.
AI-generated from the text of customer reviews
Customers find the information in the book insightful, thought-provoking, and motivating. They say it's packed with psychological facts and backed by science. Readers also mention the book changes their subconscious beliefs and helps them transform their lives.
"...This book reminds us that life is a beautiful thing . We were not born with a glass of wine in our hands...." Read more
"...examined why I was considering NOT drinking, so the exercise was quite enlightening and set up a really important foundation for me to really absorb..." Read more
" This book is definitely helpful . I made it through thirty three days without alcohol, relatively easily...." Read more
"...Scientifically, this happens because alcohol is a depressant AND a stimulant ...." Read more
Customers find the book awesome, important, and worth reading. They say it's based on logic and science when it comes to reprogramming their brains. Readers also mention the book has saved them money and pounds.
"... Truly free , in charge, in control, alive... and at no point have I HAD to make a decision not to drink. Not even on day one...." Read more
"...The book is based on logic , and science when it comes to reprogramming your subconscious to look at alcohol differently...." Read more
"... It is an amazing book . Also, let me just say, my husband's replacement drink along this journey has been sparkling water (San Pellegrino)...." Read more
"...I just completed 30 days. This book is really well done ...." Read more
Customers find the book easy to read and comprehend, with tools that are easy to understand and employ. They appreciate the logical approach and the format that keeps them on track.
"...She provides a lot of science and a lot of easy-to-understand analogys and explanations to help us see alcohol differently...." Read more
" Easy read . Clear categories to direct to sections of interest. Author figured how to accomplish goal her way." Read more
"...this book beause you need to read a chapter a day which makes it easy to use . I have been looking for this approach to drinking for quite a while...." Read more
"...I made it through thirty three days without alcohol, relatively easily . I like the journal prompts and the chapters are short...." Read more
Customers find the book motivational, supportive, and amazing. They say it's comforting to connect with people on the same journey. Readers also appreciate the daily support throughout the book.
"...So, the biggest difference between AA and this book is that I feel free ...." Read more
"...This book and its day by day lessons and encouragement were a good fit for me ...." Read more
"...It was inspiring and comforting to connect with people on the same journey as myself...." Read more
"...with alcohol is forever changed… have never felt better, felt more free , or more in control...." Read more
Customers find the book to be a good read. They mention it's broken down into bite-sized readings, and the chapters are short.
"...I like the journal prompts and the chapters are short . It does suggest against moderation...." Read more
" Great book broken down into bite sized readings so you don’t have to dedicate an hour everyday to reading...." Read more
"...The chapters are broken down to where you read one per day which I thought was great to keep engaged." Read more
"This is an awesome read . Really helped me be more insightful while drinking...." Read more
Customers find the book makes giving up alcohol less scary and more attainable. They say it totally changed their attitude about alcohol and made it easy for them to stop drinking.
"...never my goal- but I’m now 7+ months without drinking and zero desire to ever drink again ...." Read more
"...It has been so easy for me to stop drinking (evening drinker to relax) because it's just for 30 days...." Read more
"...I have no physical craving for alcohol ...." Read more
"...Not only do I feel healthier and more focused, my cravings have been dismissed . This 30-day detox was a game changer for me!..." Read more
Customers find the author non-judgmental and genuine. They say she has a way with words and never makes them feel judged. Readers also mention the book is factual and encouraging, not preachy.
"...She is non-judgmental and genuinely wants to help all who struggle. I have both the hardcopy and the audible version...." Read more
"...She has a way with words and you never feel judged ." Read more
"...But reading this book was a perfect start. She is so un-judgemental and well studied in this approach...." Read more
"...Fact based and encouraging, not at all preachy or judgmental ...." Read more
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The Alcohol Experiment: Expanded Edition: A 30-Day, Alcohol-Free Challenge To Interrupt Your Habits and Help You Take Control (Unabridged)
- 4.0 • 84 Ratings
Publisher Description
Now complete with daily prompts to reflect on each day of a month-long, alcohol-free plan, the author of This Naked Mind helps readers challenge their thinking, find clarity, and form new habits. Changing your habits can be hard without the right tools. This is especially true for alcohol because habits are, by definition, subconscious thought processes. Through her methodical research of the latest neuroscience and her own journey, Annie Grace has cracked the code on habit change by addressing the specific ways habits form. This unique and unprecedented method has now helped thousands redefine their relationship to drinking painlessly and without misery. In The Alcohol Experiment , Annie offers a judgment-free action plan for anyone who's ever wondered what life without alcohol is like. The rules are simple: Abstain from drinking for 30 days and just see how you feel. Annie arms her readers with the science-backed information to address the cultural and emotional conditioning we experience around alcohol. The result is a mindful approach that puts you back in control and permanently stops cravings. With a chapter and journal prompt devoted to each day of the experiment, Annie presents wisdom, tested strategies, and thought-provoking information to supplement the plan and support your step-by-step success as you learn what feels good for you. It's your body, your mind, and your choice.
Customer Reviews
The alcohol experiment.
This book may have just saved my life!! ...and I didn’t know it needed saving! I was so far into drinking my life away, my thoughts away, my depression and anxiety away that I was missing my life! If that makes sense. Then read this book! She is so funny and I felt like she knew me and was talking ing directly to me about my life. Thanks Annie!
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The Alcohol Experiment: Expanded Edition
- A 30-Day, Alcohol-Free Challenge to Interrupt Your Habits and Help You Take Control
Written by: Annie Grace
- Narrated by: Annie Grace
- Length: 8 hrs and 29 mins
- 4.6 out of 5 stars 4.6 (44 ratings)
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Now complete with daily prompts to reflect on each day of a monthlong alcohol-free plan, the author of This Naked Mind helps listeners challenge their thinking, find clarity, and form new habits.
Changing your habits can be hard without the right tools. This is especially true for alcohol because habits are, by definition, subconscious thought processes. Through her methodical research of the latest neuroscience and her own journey, Annie Grace has cracked the code on habit change by addressing the specific ways habits form. This unique and unprecedented method has now helped thousands redefine their relationship to drinking painlessly and without misery.
In The Alcohol Experiment , Annie offers a judgment-free action plan for anyone who's ever wondered what life without alcohol is like. The rules are simple: Abstain from drinking for 30 days and just see how you feel. Annie arms her listeners with the science-backed information to address the cultural and emotional conditioning we experience around alcohol. The result is a mindful approach that puts you back in control and permanently stops cravings.
With a chapter and journal prompt devoted to each day of the experiment, Annie presents wisdom, tested strategies, and thought-provoking information to supplement the plan and support your step-by-step success as you learn what feels good for you. It's your body, your mind, and your choice.
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What listeners say about The Alcohol Experiment: Expanded Edition
- 4.5 out of 5 stars 4.6 out of 5
- 4.5 out of 5 stars 4.5 out of 5
Reviews - Please select the tabs below to change the source of reviews.
Audible.ca reviews, amazon reviews.
- Overall 4 out of 5 stars
- Performance 3 out of 5 stars
- Story 4 out of 5 stars
I never thought I could quit alcohol!
Before this book I felt really trapped in a cycle of wanting to take a break from alcohol but not knowing how to. One of my favorite podcasters shared this book and that she was going to take a month to experiment with sobriety and suddenly I was doing it too! I bought this book and this naked mind, the only disappointment was that there is a lot of overlapping information in both... I kind of felt like I could have gotten all of this in one book instead. But I'm really grateful, I'm really happy to hear about a woman's honest relationship with alcohol. I have both books on audiobook and this naked mind in a physical book but I think it's important to have this one in a physical book instead of just audiobook. Maybe this naked mind isn't as necessary as this one in a physical copy? She is using Allen Carr's methods and he really helped me stop smoking, I recommend looking into his work too for sobriety.
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- Performance 4 out of 5 stars
- Story 5 out of 5 stars
Great information
Makes a lot of sense, well written, makes quitting all together a possibility, thank you
- Overall 5 out of 5 stars
- Performance 5 out of 5 stars
Best experience ever
Recommended to anyone out there who is curious about their drinking habits. Annie is raw, and presents you with the honest truth and science behind alcohol and what effects it has on your body.
- Mike Norris
Very informative
Highly recommend. Full of useful information. After reading her first book I definitely noticed some repetition but i believe it to be done on purpose to help in the learning process.
- Overall 2 out of 5 stars
- Performance 2 out of 5 stars
- Story 2 out of 5 stars
As soon as she dedicated the book to Jesus she lost me. Isn’t he the guy that turned water into wine? Isn’t part of the ritual of getting into Jesus drinking his blood which is turned into wine I’m sorry that’s just not a good start for me on a book is supposed to help you stop doing alcohol stop drinking the Kool-Aid
7 people found this helpful
Condescending and Preachy
The author speaks like she is talking down to children. It is also very repetitive! OMG how many times do I need to hear that the "wisdom is inside me" or whatever. I think you're supposed to be brainwashing yourself into hating all alcohol. This book is NOT about controlling alcohol. It is about convincing you that any alcohol is VERY BAD. As well, the author's voice is a bit harsh and unpleasant. (She also mispronounced a few words, and this has been left in the recording.) Should have been given to a professional reader.
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- The Alcohol Experiment: Expanded Edition
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A 30-Day, Alcohol-Free Challenge To Interrupt Your Habits and Help You Take Control
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- #433 in Nonfiction , Health & Well Being , Self Help , Addiction , Alcoholism
- #4036 in Nonfiction , Health & Well Being , Self Help , Mental Health , Happiness
- #30684 in Nonfiction , Health & Well Being , Self Help
by Author Annie Grace
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Now complete with daily prompts to reflect on each day of a month-long, alcohol-free plan, the author of This Naked Mind helps readers challenge their thinking, find clarity, and form new habits.
Changing your habits can be hard without the right tools. This is especially true for alcohol because habits are, by definition, subconscious thought processes. Through her methodical research of the latest neuroscience and her own journey, Annie Grace has cracked the code on habit change by addressing the specific ways habits form. This unique and unprecedented method has now helped thousands redefine their relationship to drinking painlessly and without misery.
In The Alcohol Experiment , Annie offers a judgment-free action plan for anyone who's ever wondered what life without alcohol is like. The rules are simple: Abstain from drinking for 30 days and just see how you feel. Annie arms her readers with the science-backed information to address the cultural and emotional conditioning we experience around alcohol. The result is a mindful approach that puts you back in control and permanently stops cravings.
With a chapter and journal prompt devoted to each day of the experiment, Annie presents wisdom, tested strategies, and thought-provoking information to supplement the plan and support your step-by-step success as you learn what feels good for you. It's your body, your mind, and your choice.
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- Penguin Random House Audio Publishing Group
- Release Date: December 31, 2018
- Imprint: Penguin Audio
- ISBN: 9781984845573
- Language: English
- File size: 233 MB
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The Alcohol Experiment
- how to take control of your drinking and enjoy being sober for good
- By: Annie Grace
- Narrated by: Annie Grace
- Length: 7 hrs and 32 mins
- 4.6 out of 5 stars 4.6 (396 ratings)
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It’s your body.... It’s your mind.... It’s your choice....
If you’re reading this right now, you’re questioning how much you drink. Maybe you know you drink way too much, and you want to quit. Or maybe you’re just curious. You’re questioning whether you might be overdoing it a bit. No matter where you are on the drinking spectrum, you’re not alone. I’ve been there. And thousands of people inside the This Naked Mind community have been there, too.
You’re probably wondering why in the world you keep drinking, even though you’ve made a conscious decision to cut back or quit altogether. Are you sick of waking up with a hangover, having to piece together conversations and wondering if you said or did anything embarrassing? Are you even really enjoying yourself anymore?
If you’ve tried to give up or moderate your alcohol consumption in the past and failed, you need to know it’s not your fault. There’s something going on that you’re probably not aware of. And once you understand it, your eyes will be opened, and you’ll be able to undergo this experiment in a meaningful way. It won’t be just another failed attempt at willpower.
Are you ready to get in on the secret?
- Unabridged Audiobook
- Categories: Health & Wellness
Listeners also enjoyed...
Critic reviews
"Practical, down-to-earth and easy-to-engage-with." ( Press Association )
"A wise, rational, uplifting exploration of drink, with sound and simple advice on taking control." (Saga)
"Annie Grace takes every belief you have about alcohol and turns it on its head. If you start reading her book with a sense of trepidation, you’ll end it with a feeling of excitement. Annie transforms lives." (Clare Pooley, The Sober Diaries )
What listeners say about The Alcohol Experiment
- 4.5 out of 5 stars 4.6 out of 5.0
- 5 Stars 309
- 4.5 out of 5 stars 4.7 out of 5.0
- 5 Stars 257
- 5 Stars 244
Reviews - Please select the tabs below to change the source of reviews.
Audible.co.uk reviews, amazon reviews.
- Overall 5 out of 5 stars
- Performance 5 out of 5 stars
- Story 5 out of 5 stars
- Steven Williams
Highly insightful
Really interesting to listen to this book. A mix of practical and theoretical approaches mixed with real life reviews. Definitely changed the way I think about alcohol
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A brilliant way to rewire your brain on alcohol
This book gives a step by step guide to untangling the anxieties and beliefs around alcohol that keep us trapped in a love-hate relationship with it. I’ve never heard it explained like this before and it has been a really enjoyable adventure taking part in the 30 day alcohol experiment.
- Story 3 out of 5 stars
Seven Months
I got this book at the start of dry January, and it’s now nearly August. I haven’t drunk alcohol since December 30, and I attribute some of that fact to this book, so I would recommend it if you’re looking for support in getting sober. A note of caution, though. I did what I usually do with an audiobook, which is to say I popped in headphones and went out with the dog. The book is arranged in chapters to be listened to day by day, and I frankly wasn’t in the mental space to hear about some of the physiological effects (none good) of alcohol early in the month.
1 person found this helpful
- Keeley Hooper
This book is amazing. Did the 30 days very easily with the support of this book! Loved it!
- Overall 4 out of 5 stars
- Monsieur Adam
Definitely more conscious
You are wonderful to listen to and I am taking a longer term view on drinking less . Alcohol is my enemy and maybe I’ll stop one day but it’s been a tough battle to admit that and it’s really stuck in my head.
- Edyta Kurowska
Fab techniques how to avoid “one drink” scenarios
Great explanation on how damaging alcohol is to our bodies. I thought I knew it all but after listening to this book I think it put me off drinking for life. Great listen if you need that courage to get healthy and more productive.
Life changing!!
Just what I what I was looking for, an adult sensible approach to reducing or stopping drinking! 10 out of 10 would highly recommend. Lots of these books/audios pretend they will help you cut down only to read it and it tries to guilt you into their way of thinking!! Off to listen to her first book now as think that will give me a big picture view over other things and how to take control of your life, not just your drinking.
- Performance 4 out of 5 stars
Very helpful in my quest to quit drinking
Really enjoyed the neuroscience information as well the exercises. Each time I think about wanting a drink, my mind immediately thinks about how it effects my mind and body, which stops the ‘wanting a drink’ thoughts in their tracks. It’s been 30 days, now I feel I can really stop my subconscious mind taking control of the situation. Thanks Annie, you really are making a difference in people’s lives.
4 people found this helpful
First ever successful dry January
The book really helped me to understand alcohol and my often tedious relationship with it. After a month I feel clearer, happier, healthier and I am managing daily stresses better. I am going to try another month to see where that leads me...
I loved listening to this book. It was so helpful. I would definitely recommend it.
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The Alcohol Experiment: Expanded Edition: A 30-Day, Alcohol-Free Challenge To Interrupt Your Habits and Help You Take Control
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I started reading this after one too many drunken (weekend)nights and decided it was time to …dry out! I am a moderate drinker but since I am knocking on 50, I am more prone to a hangover now. SMH. I followed along with the book, journaling and reflecting. I made it through about 6 weeks of soberness. I am a wine drinker and occasionally i over do it but this book really opened my eyes to certain behaviors and habits. I committed to being better!
I’m excited to start
I needed this book. I learned so much about alcohol and what it does to your mind, body and soul. This is worth it even if you don’t think you need it.
Loved everything about this book. I completely connected. Thank you !
The Alcohol Experiment: Expanded ...
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The Alcohol Experiment: Expanded Edition: A 30-Day, Alcohol-Free Challenge To Interrupt Your Habits and Help You Take Control Audiobook
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The Alcohol Experiment: Expanded Edition A 30-Day, Alcohol-Free Challenge To Interrupt Your Habits and Help You Take Control
Author: Annie Grace
Narrator: Annie Grace
Unabridged: 8 hr 29 min
Format: Digital Audiobook Download
Publisher: Penguin Audio
Published: 12/31/2018
Category: Self-help - Substance Abuse & Addictions - Alcoholism
Try free for 30 days
The Alcohol Experiment
- how to take control of your drinking and enjoy being sober for good
- By: Annie Grace
- Narrated by: Annie Grace
- Length: 7 hrs and 32 mins
- 4.8 out of 5 stars 4.8 (188 ratings)
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It’s your body.... It’s your mind.... It’s your choice....
If you’re reading this right now, you’re questioning how much you drink. Maybe you know you drink way too much, and you want to quit. Or maybe you’re just curious. You’re questioning whether you might be overdoing it a bit. No matter where you are on the drinking spectrum, you’re not alone. I’ve been there. And thousands of people inside the This Naked Mind community have been there, too.
You’re probably wondering why in the world you keep drinking, even though you’ve made a conscious decision to cut back or quit altogether. Are you sick of waking up with a hangover, having to piece together conversations and wondering if you said or did anything embarrassing? Are you even really enjoying yourself anymore?
If you’ve tried to give up or moderate your alcohol consumption in the past and failed, you need to know it’s not your fault. There’s something going on that you’re probably not aware of. And once you understand it, your eyes will be opened, and you’ll be able to undergo this experiment in a meaningful way. It won’t be just another failed attempt at willpower.
Are you ready to get in on the secret?
- Unabridged Audiobook
- Categories: Health & Wellness
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Critic Reviews
"Practical, down-to-earth and easy-to-engage-with." ( Press Association )
"A wise, rational, uplifting exploration of drink, with sound and simple advice on taking control." (Saga)
"Annie Grace takes every belief you have about alcohol and turns it on its head. If you start reading her book with a sense of trepidation, you’ll end it with a feeling of excitement. Annie transforms lives." (Clare Pooley, The Sober Diaries )
What listeners say about The Alcohol Experiment
- 5 out of 5 stars 4.8 out of 5.0
- 5 Stars 169
- 5 Stars 130
- 5 Stars 125
Reviews - Please select the tabs below to change the source of reviews.
Audible.com.au reviews, amazon reviews.
- Overall 5 out of 5 stars
- Performance 5 out of 5 stars
- Story 5 out of 5 stars
- Anonymous User
Life changing.
Loved this so much. Amazing and relatable approach that makes sense. Well worth the read.
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Great book to help kick drinking
After listening to 2 of Annie's books I've stopped drinking. Great tool to help with unconscious mind reprogramming.
Clear, compassionate, logical and such simple and practical steps to confront drinking issues. I highly recommend to anyone who has questioned their alcohol habits.
insightful book
looking forward to the 30 day group challenge ❤ Thanks for sharing your story ok
Changed my whole attitude!
I’m not an alcoholic. And I was really hesitant to read and participate in the experiment because I enjoy alcohol. But after another night of waking up at 2pm totally restless and uncomfortable (I now know why!!) I decided to give it a crack! 31 days later my relationship with alcohol is much more informed, clear and manageable. Will I drink again? Who knows…I don’t feel the need for it like I once did. Thanks Annie. Highly recommended, alongside the 30 day app!!
Do This Experiment if you ever want to change your relationship with alcohol
Annie breaks down the alcohol myths & deceptions and helps you change your life - if you want to!!
- Overall 4 out of 5 stars
- Performance 4 out of 5 stars
- Story 4 out of 5 stars
When I first started listening to this all I wanted to do was go buy some wine lol. But by the end of it I felt differently I went 23 days only but that is still a big deal for me and now I don’t drink like I used to It has made me more aware and also it’s easier for me to say no as my mindset has changed I recommend this book highly
Amazing program - it works
After years of daily drinking I was sceptical but committed and so grateful to Annie for her work and this book. 30 days alcohol free and looking forward to the future alcohol free. Forever grateful.
- Ruth Watson
Thank you Annie
Great book, and fantastic learning tool. Very insightful with exercises and outsourced knowledge and support. Well worth the your time and plenty of reply value.
Best Booze book I have read
Compelling and fact driven read with an excellent voice and tone to keep you interested.n
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Annie Grace
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31 December 2018
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The Alcohol Experiment: Expanded Edition Audiobook by Annie Grace
Immerse yourself in The Alcohol Experiment: Expanded Edition Audiobook by Annie Grace for an insightful exploration into the world of alcohol consumption. Join Annie on a 30-day journey towards self-discovery and mindfulness as she unravels the truth behind our drinking habits with scientific precision. Narrated by Annie Grace herself, this audiobook offers a judgment-free action plan for anyone curious about life without alcohol. Ready to challenge your thinking and form new habits? Listen and embark on this transformative experience for free on Ezaudiobookforsoul.com today.
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As the sun gently peeked through my curtains on a serene Sunday morning, I embarked on a transformative journey with The Alcohol Experiment: Expanded Edition Audiobook by Annie Grace. Nestled in my cozy reading nook with a steaming cup of herbal tea, I allowed Annie’s soothing voice to guide me through this eye-opening experience.
Annie Grace’s approach to dissecting the complexities of alcohol consumption is nothing short of enlightening. With each chapter, she delves into the emotional and physical triggers behind our drinking habits, unraveling the intricate web of reasons why we turn to alcohol for solace, celebration, or escape. Her gentle invitation to join her 30-day experiment felt like a personal gift, an opportunity for self-discovery and growth.
Through Annie’s eloquent explanations backed by scientific studies, I gained a profound understanding of how alcohol impacts not just our bodies but also our minds. Her insights into the physiological effects of alcohol consumption shed light on the addictive cycle that many find themselves trapped in without even realizing it. The clarity she provides on the detrimental effects of alcohol was both eye-opening and empowering.
After completing this month-long experiment alongside Annie and Scott Pinyard, I can confidently say that my perspective on alcohol has shifted fundamentally. For years, I used alcohol as a crutch to numb emotions, alleviate anxiety, and seek fleeting moments of happiness. However, through Annie’s guidance, I’ve witnessed significant changes in my physical well-being and mental clarity. The weight loss, reduced inflammation, and newfound energy are testaments to the healing power of breaking free from the grip of habitual drinking.
The Alcohol Experiment not only equips you with knowledge about the science behind alcohol but also empowers you to take control of your relationship with drinking. It serves as a beacon of hope for those seeking to break free from destructive patterns and embrace a healthier lifestyle. This audiobook has truly been a catalyst for positive change in my life.
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- 04 The Alcohol Experiment: Expanded Edition Audiobook
- 05 The Alcohol Experiment: Expanded Edition Audiobook
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- 07 The Alcohol Experiment: Expanded Edition Audiobook
- 08 The Alcohol Experiment: Expanded Edition Audiobook
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Peer influence in adolescent drinking behavior: A meta-analysis of stochastic actor-based modeling studies
Valeria ivaniushina.
Department of Sociology, National Research University Higher School of Economics, Saint Petersburg, Russian Federation
Vera Titkova
Associated data.
All data files are available in a public repository Open Science Framework platform https://osf.io/3avsn/ .
To measure the effects of peer influence and peer selection on drinking behavior in adolescence through a rigorous statistical approach designed to unravel these interrelated processes.
We conducted systematic searches of electronic databases, thesis collections and conference proceedings to identify studies that used longitudinal network design and stochastic actor-oriented modeling to analyze drinking behavior in adolescents. Parameter estimates collected from individual studies were analyzed using multilevel random-effects models.
We identified 26 articles eligible for meta-analysis. Meta-analyses for different specifications of the peer influence effect were conducted separately. The peer influence effect was positive for every specification: for average similarity (avSim) mean log odds ratio was 1.27 with 95% confidence interval [0.04; 2.49]; for total similarity (totSim) 0.46 (95% CI = [0.44; 0.48]), and for average alter (avAlt) 0.70 (95% CI = [-0.01; 1.41]). The peer selection effect (simX) was also positive: 0.46 (95% CI = [0.28; 0.63]). Conversion log odds ratio values to Cohen’s d gives estimates from 0.25 to 0.70, which is considered as medium to large effect.
Conclusions
Advances in methodology for social network analysis have made it possible to accurately estimate peer influence effects free from peer selection effects. More research is necessary to clarify the roles of age, gender, and individual susceptibility on the changing behavior of adolescents under the influence of their peers. Understanding the effects of peer influence should inform practitioners and policy makers to design and deliver more effective prevention programs.
Introduction
Alcohol consumption at a young age is a global public health problem that leads to multiple immediate and long-term detrimental consequences [ 1 – 4 ]. Understanding the factors associated with alcohol consumption is imperative for the development of effective prevention programs. Among the most consistent and important factors related to adolescent drinking are social influences [ 5 – 7 ]. Peer relationships constitute a social context in the development of young people; children and teenagers are particularly susceptible to peer influence due to the enormous importance of peers at this developmental stage [ 8 – 10 ].
A strong association between people’s drinking behavior and the drinking behavior of their friends has been documented in many studies [ 11 – 14 ]. There are two processes that may contribute to this association: social influence, in which a person changes their behavior to be more in line with the behavior of their friends, and social selection, in which people tend to befriend those who engage in similar behaviors. It is generally understood that these processes often occur simultaneously [ 15 – 17 ]. Therefore, the estimation of influence effects must consider selection effects, and without knowledge of the latter, the effect size of the former cannot be estimated correctly [ 18 , 19 ].
The difficulty of statistically disentangling peer influence from a tendency to associate with similar others has long been recognized. Some of the methods that have been attempted to resolve this issue are cross-lagged panel models [ 20 – 22 ], discrete time event history models [ 23 ], and two stage least square regression [ 24 , 25 ]. All of these methods, however, have inherent shortcomings, in that they do not adequately address the network dependence of the actors, they fail to consider potentially important unobserved feedback mechanisms between networks and behavior, and they do not control for alternative mechanisms that may be responsible for observed changes [ 26 ].
Two important advances in methodology have given a boost to the area of peer influence studies. The first involves behavior measurement methods. Traditionally, peer behavior has been measured subjectively—that is, respondents are asked for their evaluations of their friends’ behavior. The drawback of this approach is that it does not measure peer behavior so much as the respondent’s perception of it. Therefore, this measure is prone to projection bias, which describes situations in which respondents project their own behavior onto that of their friends. Bauman and Ennett in their review [ 15 ] demonstrate that in the studies where both measures (perceived reports of friend’s drinking and smoking and actual reports) were used, perceived reports were much more strongly correlated with respondent’s own behavior than actual reports. Studies that use surveys with network (sociometric) components can offset this problem. With this method, respondents report on their own behavior, and sociometric component shows who is friend with whom. This design can provide objective, rather than subjective, information about the behavior of the respondents as well as that of their immediate peers [ 15 , 16 ].
The second advance is a methodological innovation in modeling influence and selection that allows an accurate disentanglement of these intertwined processes. A new class of models, called stochastic actor-oriented models (SAOM), has been developed and improved upon since its introduction by Tom Snijders in 2001 [ 27 – 29 ]. A main distinction of these models, compared to previous approaches, is that they simultaneously and explicitly model the co-evolution of social networks and actors’ behavior [ 26 ]. Data is collected from a complete network, meaning that every actor within a designated boundary (i.e., school class or grade) is surveyed. Estimations from such models require at least two waves of panel network data; at each wave, actors’ behavior and the ties between actors are measured. Actors create, maintain, or disrupt ties; they may also change their behavior. The unobserved process of change takes place in micro-steps, with the alteration of one tie at a time or the movement of one step at a time on a behavioral scale. There are separate parts of model specification: one for network change, another for behavioral change. This allows separate conclusions to be drawn regarding selection and influence processes that occur in networks. The development of this approach, together with the availability of free software (first stand-alone SIENA, then R package RSIENA) [ 29 ], has stimulated research of social influence in diverse fields. Over the last 20 years empirical researchers have applied SAOMs in many areas of research, including peer influence studies, for which they are particularly suited [ 30 , 31 ]. Dozens of studies using SAOM methods to examine adolescent drinking behavior have now been published, which makes it possible to aggregate their results in meta-analysis.
We conducted a systematic review and meta-analysis of SAOM studies of adolescent drinking behavior. The goals of this study are: 1) to measure the average effects of peer influence and peer selection on the drinking behavior of adolescents, and 2) to understand which covariates (e.g., age, parental control) and study characteristics (e.g., network size, interval between waves) affect the magnitudes of these effects.
Study eligibility criteria
This review was conducted following PRISMA guidelines [ 32 ] ( S1 Appendix ) and carried out following a published protocol [ 33 ] (PROSPERO registration number https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=119836 CRD42019119836 ). All English language studies published between January 1st, 2001 and May 15th, 2020 were included. The time frame was determined by the fact that the first article that described SAOM methodology was published in 2001 [ 27 ]. The criteria included studies with a longitudinal design (at least two waves), studies that use SAOM methodology for analysis, studies that have a sociometric component (i.e., explicit measuring of social ties/friendship between participants), studies in which the behavior modeled in SAOM is alcohol consumption, and studies in which the study population is children or adolescents (with the age of participants between 11–19 years old).
Information sources and search strategy
Studies published in academic journals, dissertations, reports, and conference materials were gathered through searches of the following electronic databases: Web of Science, Scopus, PubMed, the Cochrane Library—including the Cochrane Database of Systematic Reviews and the Cochrane Central Register of Controlled Trials (CENTRAL), EBSCOhost (including MEDLINE, SocINDEX, Academic Source, and ERIC), PsycINFO (PsycNET), the Excerpta Medica database (Embase), and the Cumulative Index to Nursing and Allied Health Literature (CINAHL). To minimize the possibility of publication bias, a search of theses and dissertations was included (ProQuest Dissertations and Theses Global). A Google Scholar search was used to check for unpublished studies and gray literature, and conference abstracts of thematically relevant conferences (such as Sunbelt 2001–2019 and EUSN 2016–2019) were hand searched; authors were also contacted to identify any unpublished studies.
The search queries included an extensive list of synonyms corresponding to the following three points of interest: SAOMs methodology, drinking behavior, and adolescents. Point 1, analytical methodology, included terms like "longitudinal network analysis", "stochastic actor-oriented models", "stochastic actor-based models", "SAB model", "SABM", "SAOM", "RSIENA" and other relevant terms (see S2 Appendix for complete list of synonyms). Point 2, drinking behavior, included “alco”, “binge”, “drink”, “substance abuse” and other synonyms for alcohol use. Point 3 included words “adolesc*”, “youth”, "young", “student” and other synonyms for young people.
The search queries were formulated for the Web of Science database and adapted for other databases. Full search query is available in S2 Appendix .
Risk of bias
To minimize publication bias, we included unpublished studies—dissertations and conference theses—in our analysis. We contacted the authors of unpublished studies (with up to three email attempts) and discovered that most of them had indeed been published. We tested for publication bias using modification of Egger’s regression test for dependent effect sizes [ 34 ].
In the absence of an approved checklist for longitudinal panel network studies, we used several markers to assess the risk of bias for individual studies: the number of networks, the number of participants, the amount of time between waves, the response and attrition rate, the percentage of missing data. Because the RSIENA package includes an imputation procedure that replaces missing data using information from the previous or next wave or the global average, studies with up to 10% of missing data is not a problem for SAOM models [ 29 ].
Study selection
Lists of articles were retrieved from the electronic databases and checked for duplicates. The articles were classified as “relevant,” “irrelevant,” or “unclear,” based on titles and abstracts. Articles considered irrelevant if they did not have a longitudinal design; or did not explicitly measure social ties between participants; or did not use stochastic actor-oriented models for analysis; or did not analyze alcohol consumption; or the study population was not children/ adolescents. Simulation studies without real data, theoretical and review articles also considered irrelevant for meta-analysis. Articles classified as “irrelevant” were removed. The full texts of the remaining articles were carefully examined to determine whether they should be included in the meta-analysis.
The flowchart diagram ( Fig 1 ) displays the step-by-step process of article selection. Searches of the electronic databases allowed for the collection of 300 articles. Additional searches of Google Scholar and Sunbelt/EUSN conference abstracts added another 52 studies. After duplicates were removed, 172 articles were screened based on abstract and title, and of these, 129 were excluded; 17 more were excluded after full-text screening. Four studies were excluded because they presented duplicated models: first as dissertations, then as published articles. Other reasons for exclusion were different type of risk behavior (e.g., summing up scales for drinking, smoking, and marijuana use) or high risk of bias (too small sample size, too high percentage of missing data). One article published in 2006 [ 35 ] did not include quadratic shape effect which made its results unreliable (Tom Snijders, personal communication). In the dissertation of K. Coronges [ 36 ] about 40% of network data were missing; in the paper of Knecht et al. [ 37 ] the models did not converge; and in the dissertation of S. Peterson [ 38 ] the interval between waves was just 2 weeks that made it incomparable with all other studies. 26 studies we included in the meta-analysis [ 39 – 63 ].
Data collection
The following items were extracted from the full texts of the selected articles:
- Bibliometrics: authors, title, source, year of publication.
- Characteristics of the study: country(s) and year in which the study was conducted, project title/database title, sample size (number of participants and number of networks), type of sample (general sample or at-risk group), age of participants.
- Study design: number and frequency of survey waves (and lag between waves), data collection techniques, name generator questions (types of social ties and maximum number of nominations).
- Description of alcohol use behavior (frequency of drinking, binge drinking etc.) and the number of categories in the alcohol measuring scale.
- Covariates included in the model: gender; age; personality characteristics; other behaviors (smoking, physical activity etc.); family and school factors (parental control, parental drinking, school level of alcohol use etc.)
- Response rate and attrition rate, description of missing data, treatment of missing data.
- Model specification: influence and selection effects; structural effects.
- Effect size data: parameter coefficients (log odds ratios) and standard errors for selection and influence effects, behavior dynamics effects, network structural effects.
Characteristics of the selected studies are presented in S3 Appendix .
Data synthesis
The SAOM models estimated in RSIENA can include different specifications of influence and selection effects. The influence effects can be specified by "average similarity" (avSim), "total similarity" (totSim), or "average alter" (avAlt) [ 29 ]. Since they are calculated and interpreted in distinct ways, we conducted three different meta-analyses, separately for each specification of influence effect.
The selection effects can be specified either by similarity/identity effects (simX/sameX), or by the covariate-ego × alter effect (egoXaltX) that have to be analyzed separately. We conducted meta-analysis only for simX specification because the egoXaltX specification has been used very rarely (only in 4 articles).
Our data had 3-level nested structure because some articles provided more than one model (separate models for different schools or age cohorts), and several papers were based on the same project/database. To account for non-independence among effect sizes we used multilevel random-effects (MLRE) models with random effects at the coefficient level, the article level, and the database level. For model estimation we employed the metafor package in R (rma.mv) followed by estimating cluster-robust standard errors and confidence intervals [ 64 ].
Coefficients of SAOM models are presented as log odds ratios; hence, the mean effect sizes were calculated as logs odds ratios. To provide an effect size evaluation in metrics most often used in meta-analysis [ 65 ], we converted average log odds ratios into Cohen’s d.
To account for heterogeneity in effect sizes we pre-specified several moderators: number of networks, network size, number of possible nominations, between-waves time, country, gender composition and socio-economic status of the sample. We followed the practical recommendation to use at least ten studies for each covariate in the meta-regression [ 65 ].
Supplementary analyses were conducted on subsets of models (with one article per project/database).
Datasets, codes, and supplementary analyses results are available at https://osf.io/3avsn .
Patient and public involvement
This research was based on analyses of previously published studies and did not involve direct patient and/or public involvement.
Twenty-six articles were selected for meta-analysis. All the studies were conducted in middle or high schools, and all the studies used similar data collection techniques: survey questionnaire with a sociometric part (friendship nomination). Fifteen articles had been based on the USA samples. The Add Health (USA) from 1994 was the earliest study, and two studies from 2012 (the Netherlands and Russia) were the most recent ones. Eight articles analyzed data from the Add Health project, and five articles—from the PROSPER project. The articles based on the same dataset used different subsamples, different specifications of the influence and selection effects, or included different additional covariates in the model (see S3 Appendix ). Several articles reported more than one model: either models for different subsamples (schools, age cohorts) or models with different number of covariates. We collected coefficients from all the models for different subsamples, but we took only one model from the models with different number of covariates. It is important to note that for modeling network and behavior change all articles used evaluation function; thus, the models were comparable.
Peer influence
Meta-analyses for different specifications of influence effect were conducted separately. Results are presented in Fig 2 and Table 1 .
Forest plots of effect size estimates for peer influence effects: (a) avSim, (b) totSim, (c) avAlt.
Log odds ratio (95%CI) | Cohen’s d | N models | N articles | N databases | Q | |
---|---|---|---|---|---|---|
1.27 (0.04; 2.49) | 0.70 | 17 | 12 | 5 | 236.7 | |
0.46 (0.44; 0.48) | 0.25 | 8 | 5 | 5 | 3.3 | |
0.70’ (-0.01; 1.41) | 0.39 | 11 | 9 | 7 | 222.1 |
Note: ‘ p<0.1;
*p < 0.05; **p < 0.01;
***p<0.001.
avSim–average similarity effect.
totSim–total similarity effect.
avAlt–average alter effect.
Average similarity effect was used in 17 models nested in 12 articles and 5 databases; total similarity effect was used in 8 models nested in 5 articles and 5 databases; and average alter effect was used in 11 models nested in 9 articles and 7 databases. The mean effect size was positive for every specification of influence effect, albeit with different significance level. For total similarity, the overall effect was highly significant (mean log odds ratio = 0.46, p < 0.001, 95% CI = [0.44; 0.48]), and Q statistic demonstrated that there was no heterogeneity between individual model coefficients. For average similarity, the mean effect size was also significant (mean log odds ratio = 1.27, p < 0.01, 95% CI = [0.04; 2.49]), with significant heterogeneity test (Q = 236.7, p < 0.001). For average alter the mean effect was significant on 10% level (mean log odds ratio = 0.70, p = 0.053, 95% CI = [-0.01;1.41]), with significant heterogeneity test (Q = 222.1, p < 0.001). Convergence log odds ratio into Cohen’s d gives 0.70 for average similarity, 0.25 for total similarity, and 0.39 for average alter effect. The results signify that adolescents adjust their drinking behavior to match the behavior of their friends.
In the reviewed articles, adolescent drinking behavior was measured using 3-, 4-, 5-, 6-, or 7-point scales. For the interpretation of our results in terms of one unit of behavior change, we rescaled the coefficients for average similarity and total similarity by dividing individual log odds ratios and their standard errors by (k-1), where k is the number of points in the scale. New models were estimated using the converted effect sizes. Rescaled coefficients were as follows: for avSim: log odds ratio 0.56, odds ratio 1.76, p = 0.09; for totSim: log odds ratio 0.12, odds ratio 1.13, p = 0.003. For average similarity effect odds ratio value 1.76 means that the chances that a teenager will move one unit closer to the mean level of alcoholic behavior of their friends is 76% higher than chances they will not change their behavior. For total similarity effect, odds ratio value 1.13 means that having one additional friend who drinks more than a teenager raises the probability of an increase in drinking as compared to no change by 13% (for details, see Ripley, Snijders et al., 2020, p. 183–185 [ 29 ]). Interpretation of average alter effect is different: the estimated parameter 0.70 means that when comparing a person whose friends are 0.70 units higher on the drinking scale than friends of another person, the odds of increasing drinking behavior compared to no change are two times higher (exp(0.70) = 2.0) for the first individual than for the second one.
Testing for moderation effects was not possible because of limited number of studies for each influence effect specification. Moderation analysis is not recommended when the number of studies is small. Common recommendation is at least ten studies for each moderator, and even ten may be too few when the covariates are unevenly distributed across studies [ 65 , 66 ].
Peer selection effect size
Thirty effects of peer selection (simX) were nested within 22 articles and 11 databases. Drinking similarity could be included in the model with any of three specifications of influence effect. To account for this, we used the influence effect specification as a moderator in meta-regression. The results are presented in Fig 3 and Table 2 .
Log odds ratio (95%CI) | Cohen’s d | Q | F | |
---|---|---|---|---|
0.46 (0.28; 0.63) | 0.25 | 164.4 | ||
141.0 | 1.9 | |||
0.55‘ (-0.06; 1.15) | ||||
- 0.28 (-1.00; 0.44) | ||||
009 (-0.44; 0.62) |
Note: ‘ p<0.1; *p < 0.05; **p < 0.01;
***p<0.001
The overall selection effect was positive and significant: log odds ratio = 0.46, p < 0.001, 95% CI = [0.28; 0.63]. Recalculating the overall effect from the log odds ratio to Cohen’s d gives d = 0.31. The result means that adolescents prefer to select friends who are similar to them with in terms of alcohol consumption. ту.
Rescaling coefficients for the interpretation in terms of one-unit changes in behavior gives a log odds ratio of 0.12, p < 0.001, and odds ratio = 1.13. The interpretation of this result is that a teenager has 13% higher odds of befriending someone who has the same score on the drinking behavior scale than someone who is one unit away on this scale.
The Q statistic reflected large heterogeneity in selection effect sizes (Q = 164.4; p < 0.001). The heterogeneity was partly explained by the influence effect specification, but still remained large (residual heterogeneity Q = 141.0, p < 0.001). F statistics indicates that influence effect specification does not moderate the effect of peer selection. In other words, there is no difference in selection effect coefficient in models with different specifications of peer influence effect.
Other moderators could not be tested due to small number of studies for each potential moderator.
Publication bias and sensitivity analyses
Egger’s regression tests for dependent effect sizes and funnel plots were used for publication bias detection. While no bias was detected, it should be noted that such tests do not have strong power, especially when the number of articles is small, as in case of our meta-analysis [ 34 ].
Robustness checks for outliers and influential cases were performed for each specification (avAlt, avSim, totSim, simX); no outliers and/or influential cases were detected [ 64 , 65 ].
Many studies in out meta-analysis used the same databases: for avAlt effect, two papers were based on the SNARE data and two on the Add Health data; for avSim effect, four papers were based on the PROSPER data and five on the Add Health data; for simX similarity effect, eight articles were based on the Add Health data and five articles on the PROSPER data. To eliminate dependencies between effect sizes originated from the same database, we estimated models where only one article for each database was selected. The sensitivity analyses results have shown that all the coefficients were withing the limits of 95% confidence intervals of the main analyses reported in Tables Tables1 1 and and2. 2 . Specifically, avSim coefficient was 1.29 (95% CI = [0.07; 2.50]); avAlt coefficient was 0.47 (95% CI = [0.05; 0.88]), and simX coefficient was 0.52 (95% CI = [0.30; 0.74]).
Detailed results of publication bias analyses and sensitivity analyses are available at https://osf.io/3avsn .
This article is the first meta-analysis of adolescent drinking behavior studies that employ a longitudinal network design and SAOM for a rigorous statistical unraveling of the co-occurring processes of peer selection and peer influence. The results demonstrate that both the selection effect and influence effect are significant, which indicates that adolescents prefer to select friends who are similar to them with regard to alcohol consumption, and that adolescents adjust their drinking behavior to match their friends’ behavior.
It is interesting to compare our results to those reported in a recent meta-analysis of SAOM studies of a different behavior [ 67 ]. Owen Gallupe, John McLevey, and Sarah Brown (2019) [ 67 ] analyzed studies of illegal offending/delinquent behavior in adolescents. They meta-analysed only articles with most often specification of the influence effect (avSim). The mean effect size from this research is very similar to ours: log odds ratio = 1.23 (Cohen’s d = 0.68). Such consistency in results of two independent meta-analyses is quite remarkable, considering that developmental psychologists predicted that the strength of peer influence may substantially differ for different behaviors [ 68 , 69 ].
Strengths, limitations, and future directions
The strength of the current study is the high reliability of its meta-analysis results. Several sensitivity analyses demonstrated the robustness of our findings. Publication bias is unlikely, as was confirmed through analysis. All of the studies selected for our meta-analyses used state-of-art methodology, which allows rigorous statistical disentangling of the two simultaneously occurring processes of peer influence and peer selection. There is a certainty that the estimation of average effect sizes for influence and selection is robust.
The main limitation of our study is the small number of individual studies that were included in the meta-analysis. While the estimation of the mean effect size is robust, there was not enough data to analyze the role of important covariates: individual and family characteristics, and also important network characteristics, in particular network size and density. Developmental researchers point out that age differences in susceptibility to peer influence are substantial; the principal conclusion is that resistance to peer influence increases during adolescence [ 70 , 71 ], and findings on gender differences in susceptibility to peer influence are inconsistent [ 72 ]. More longitudinal network studies that collect primary data will be necessary to further investigate the role of these important characteristics.
The second limitation of this research is that most of the studies were conducted in the USA and some European countries, which limits its extent of generalization. More research in different countries would allow us to generalize these findings to youth from different cultural backgrounds. The third limitation relates to the fact that most databases used in the reviewed studies were relatively old; for example, the Add Health study began in the early 1990s. It is not unreasonable to expect that almost 30 years later, the drinking behavior of teenagers would have changed. The fourth limitation stems from the nature of the networks investigated by researchers. In all the studies, peer influence was restricted to the influence of school friends, while it is obvious that the social networks of adolescents are more complex and often include friends outside of school. Moreover, in modern times, the ubiquity of online social networks makes the structure of adolescent social networks, and arguably, social influence itself, even more complex.
Our review has several implications for future research. It is worth noting that none of the reviewed studies explicitly measured susceptibility to peer influence, despite the fact that developmental psychologists detected considerable individual variability for this characteristic [ 73 – 75 ]. Presently, these two areas of peer influence research are completely separate: psychologists study susceptibility/resistance to peer influence using self-report measures (e.g., the Resistance to Peer Influence questionnaire) [ 70 ], but there is no information on how different levels of self-reported susceptibility/resistance relate to changes in an individual’s behavior under peer pressure. Network researchers, on the other hand, measure behavioral changes due to peer influence, but there is no complementary information on differences in susceptibility/resistance. We suggest that bringing these two approaches together will enrich both sides.
Another implication involves health-promotion interventions. Schools are perfect settings for prevention programs, but such programs are often less effective than intended [ 76 ]. There is a growing recognition of the benefit of using social networks in behavioral intervention [ 77 – 79 ], and it is likely that interventions that are based on a detailed understanding of the complex social system of adolescents would be more effective. In school-based settings, peer influence may increase the efficiency of prevention and intervention programs. Further research into social networks with a focus on peer influence should inform practitioners and policy makers in their design and delivery of effective prevention programs.
Supporting information
S1 appendix, s2 appendix, s3 appendix, acknowledgments.
The authors express their immense gratitude to Tom Snijders for his consultations and kind attention to our work, although any errors of interpretation are our own. We are grateful to Wolfgang Viechtbauer, James Pustejovsky and Michael Dewey for their advices on multilevel meta-analysis. Comments of three anonymous reviewers are sincerely appreciated.
Funding Statement
This project was supported by a grant from the Basic Research Program at the National Research University Higher School of Economics. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Data Availability
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Church of the Annunciation on Vasilevsky
There were once ten churches in St. Petersburg named after the Annunciation of the Mother of God, one of the most important holidays in the Eastern Orthodox calendar. This charming and unusual church on Vasilevskiy Island is one of only two surviving. The first wooden church was built here in the earliest years of St. Petersburg, when Vasilevskiy was planned as the center of the city, and rows of canals were built along what are now the Lines. In 1750, by which time Vasilevsky was predominantly a merchant quarter, construction began on a stone church, funded by wealthy members of the congregation, and principally the Chirkiniy family of brewers.
Although the building's architect is unknown, the Church of the Annunciation is a surprisingly original creation, successfully blending elements St. Petersburg Baroque and medieval Muscovite styles. Its layered bell-tower was for many years the tallest building on Vasilevsky Island. The round church comprised seven side-chapels, each containing a holy relic or copy of a famous icon. The Church of the Annunciation was once the parish church for the nearby Academy of Sciences, and many famous scholars were members of its congregation, including the great Russian polymath Mikhail Lomonosov.
In the mid 19 th century, the church became part of a convent, the auxiliary buildings of which can still be seen surrounding the church. However, on the orders of Nicholas I, the Church of the Annunciation was returned to its congregation, while the nuns were moved to the Voskresensky Novodevichy Convent in the south of the city. After the Revolution, the church was closed, its treasures ransacked, and the building used as a warehouse and workshops. During the Siege of Leningrad, the building was repeatedly bombed and remained in ruins till the early 1990s. The church's exterior has since been restored, and work continues on the interior, with the second floor already completed, including the restoration of original frescoes depicting Mount Ararat and God's covenant with Noah.
Address: 67, 8-ya Liniya, V.O. Metro station: Vasileostrovskaya From the metro: On exiting the station, cross Sredny Prospekt and walk up 7-ya Liniya. The church is only just over 100m away, set back from the street to your left. (5 minutes) Opening hours: Daily from 9am to 6pm.
Although the Church of the Annunciation is still undergoing much needed restoration, and only the second floor is currently open, the church is so close to Vasileostrovskaya Metro Station that it can easily be visited while exploring the island. Although regular services are not currently held in the church, it is used often for weddings, christenings and funeral services.
Accommodation near the Church of the Annunciation on Vasilevsky
Marriott courtyard vasilievsky, riverside four-star hotel offering great views and reasonable rates, tuchkov hotel, plain and friendly mini-hotel in historic neighborhood on vasilevskiy island, modern small superior hotel with stylish interiors on vasilevskiy island, dining near the church of the annunciation on vasilevsky, helsinki bar, nordic bar food, homemade liqueurs and great atmosphere in the evenings, very popular small georgian restaurant serving excellent food at fair prices, dve palochki, chain for sushi and other asian dishes, with reasonable prices and late hours.
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While reading this The Alcohol Experiment, one thing I think about is the difference between the approach this book takes and the approach of AA. In 2007 I went to AA for 90 meetings … every day for 90 days. I was alcohol free. Day one the step was to admit I am powerless over alcohol. That was a very odd thing for me.
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The Alcohol Experiment. how to take control of your drinking and enjoy being sober for good. By: Annie Grace. Narrated by: Annie Grace. Length: 7 hrs and 32 mins. 4.9 (12 ratings)
The Alcohol Experiment: Expanded Edition - The Alcohol Experiment: Expanded Edition audiobook, by Annie Grace... Now complete with daily prompts to reflect on each day of a month-long, alcohol-free plan, the author of This Naked Mind helps readers challenge their thinking, find clarity, and form new habits. Changing your habits can be hard without the right tools. This is especially true for ...
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Introduction. Alcohol consumption at a young age is a global public health problem that leads to multiple immediate and long-term detrimental consequences [1-4].Understanding the factors associated with alcohol consumption is imperative for the development of effective prevention programs.
The original St. Petersburg Stock Exchange, built in the 1730s, was wooden. Work began in 1783 on a new stone building by renowned architect Giacomo Quarenghi, but his oval design proved unpopular and in 1804, soon after the building was finished, it was demolished to make way for the present building, designed by Frenchman Thomas de Thomon, who is said to have modeled his designs on the ...
Address: 67, 8-ya Liniya, V.O. Metro station: Vasileostrovskaya. From the metro: On exiting the station, cross Sredny Prospekt and walk up 7-ya Liniya. The church is only just over 100m away, set back from the street to your left. (5 minutes) Opening hours: Daily from 9am to 6pm. Although the Church of the Annunciation is still undergoing much ...