Antonino Polizzi

Antonino Polizzi

@polizzan.bsky.social

Deputy Head Laboratory of Population Health @mpidr.bsky.social. PhD @sociologyoxford.bsky.social & @oxforddemsci.bsky.social. Researching life expectancy, causes of death, + formal demography of fertility & mortality. Photo by Potters Instinct Photography.

1K followers315 following35 posts

Antonino Polizzi reposted

Antonino Polizzi reposted

Period measures of fertility, like TFR, are less stable than cohort measures and are currently overstating fertility decline. New paper out on The Long-Term Trends in Cohort Fertility: Global, Regional and National Estimates and Projections for Cohorts Born in 1935–2055 doi.org/10.1111/padr...

Antonino Polizzi reposted

Antonino Polizzi reposted

A pleasure to work with the brilliant @polizzan.bsky.social @andreatilstra.bsky.social & @luyinz.bsky.social on this paper! #demography #mortality #episky

Antonino Polizzi@polizzan.bsky.social

Just out! 📢 "Why is life expectancy in England & Wales falling behind?" We used a decomposition approach to understand why life expectancy improvements in E&W lagged behind other European countries between 2011 and 2019. 📉 The findings might surprise you. 🔍📄 doi.org/10.1080/00324728.2026.2682462 1/N

View full thread

tl;dr: Between 2011 and 2019, life expectancy in England & Wales fell behind European peers. Slower improvements at younger and middle ages for cardiometabolic and external causes of death contributed the most to diverging life expectancy trends. 6/N

View full thread

Key findings by age: Mortality in ages 15–44 stagnated in E&W but improved elsewhere – Mortality in ages 45–64 and 65+ improved less in E&W. All trends contributed to E&W’s smaller life expectancy improvement in 2011–19 (negative bars). 4/N

We compared England & Wales to 20 countries. The decomposition patterns were strikingly similar and point to the same conclusion: mortality trends in E&W were a clear outlier in Europe. Next step? More work on the micro-/macro-level drivers behind E&W’s lagging life expectancy internationally. 5/N

In 2011, England & Wales had better life expectancy than many European countries. By 2019, those advantages shrank or flipped (red arrows going from above towards / below zero). Where E&W already ranked worse, gaps widened (red arrows starting below zero). Bottom line: E&W ranked worse in 2019. 2/N

Key findings for causes of death: Cardiometabolic & cancer mortality improved less in England & Wales – Dementia mortality worsened more – External mortality worsened in E&W but improved elsewhere. All trends contributed to E&W’s smaller life expectancy improvement in 2011–19 (negative bars). 3/N

Definitely worth a read! 👇 It was great to be part of this amazing team during my PhD. 🤓

Year after year, life expectancy rose. Until it didn’t ⏳ ERC grantee Jennifer Dowd @ox.ac.uk investigates the social, economic, and biological forces shaping mortality trends today. 🔗 Read the full story here: buff.ly/BH8l63N #LifeExpectancy #PopulationHealth #FrontierResearch

Update: I finally had my official graduation ceremony and didn't want this beautiful photo with my wonderful friends @thegargiulian.bsky.social and @andreatilstra.bsky.social go unnoticed. 👩‍👩‍👦 Thanks to our photographer @sanderwagner.bsky.social! 📸

Antonino Polizzi@polizzan.bsky.social

Feeling bittersweet as I read this wonderful thread and reflect on my time at @oxforddemsci.bsky.social, @nuffieldcollege.bsky.social, + @sociologyoxford.bsky.social coming to a close. Immensely grateful to my supervisors, assessors, colleagues, + friends for making this journey so meaningful. 👨‍🎓📜

Check out this great thread summarizing our recent paper "Temporary Shock or Lasting Scar?" 👇

Jenn Dowd@drjenndowd.bsky.social

1/ Has life expectancy fully recovered from the COVID-19 pandemic? In a new pre-print, we find that 31 of 34 high-income countries had still not returned to their expected life expectancy trajectories five years after the onset of the COVID-19 pandemic. www.medrxiv.org/content/10.6... #demography

Antonino Polizzi reposted

📈 New preprint on life expectancy trajectories in high-income countries since 2020. 📉 Joint work with a great team from @mpidr.bsky.social @oxforddemsci.bsky.social @psglshtm.bsky.social @camunicampop.bsky.social Link below. 👇

Jonas Schöley@jschoeley.com

"Temporary shock or lasting scar?" By 2024 nearly all high-income countries remained below their pre-pandemic life expectancy trends. We identify four distinct mortality shock patterns since 2020. Full analysis in our preprint: www.medrxiv.org/content/10.6...

Happy birth, TPN! Really great line-up. 👏

Monica Alexander@monjalexander.bsky.social

The Toronto Population Network @tpn-uoft.bsky.social Seminar Series is happening this semester, with a great line-up, including @lucampesando.bsky.social, Orsola Torrisi, @mdhayward.bsky.social, and @jnobles.bsky.social! Starts next Tuesday. If you're in Toronto please come along!

What are the density, survival, and hazard functions good for? They capture fertility age patterns without individual birth histories, complex models, or parity-specific data. All you need are age-specific fertility rates, e.g. from the Human Fertility Database or UN World Population Prospects. 5/n

Maybe these functions are useful for forecasting fertility? Or for jointly modeling fertility and mortality? We do not fully know yet—but there’s plenty of exciting applied work ahead. Give our paper a read, try out the functions, and let us know what you think! 👇 6/n doi.org/10.1080/0032...

doi.orgFertility, birth, reproduction: Connecting formal demographic frameworksThe conventional framework of fertility research conceptualizes childbirth from the mother’s perspective. From her perspective, birth is an uncertain and potentially recurring event. In contrast, t...

The 'Born once, die once' framework described above uses birth counts. Most demographers, however, work with fertility rates. Can we apply the 'life table logic' directly to these rates to get density, survival, and hazard functions of fertility? Yes! And we show exactly how in the paper. 3/n

What’s the difference between density, survival, and hazard functions based on birth counts vs fertility rates? We show that birth counts carry information on mortality in the maternal cohort; the fertility rates do not. That means if mortality is high, the two sets of functions will differ. 4/n

Every person dies only once—and is also born only once. We apply life table logic to all births in a cohort of women, treating birth (not death) as the event, and using maternal age as the time axis. The result: density, survival, and hazard functions that capture the timing of reproduction. 2/n

Feeling bittersweet as I read this wonderful thread and reflect on my time at @oxforddemsci.bsky.social, @nuffieldcollege.bsky.social, + @sociologyoxford.bsky.social coming to a close. Immensely grateful to my supervisors, assessors, colleagues, + friends for making this journey so meaningful. 👨‍🎓📜

1/ A huge congrats to Dr. Antonino Polizzi @polizzan.bsky.social, who passed his DPhil viva for his thesis “The Causes and the Consequences of Growing Life Expectancy Shortfalls” on Friday, examined by Prof. @ridhikashyap.bsky.social & Dr. Iñaki Permanyer. @nuffieldcollege.bsky.social #demography

Antonino Polizzi reposted

View full thread
View full thread

We calculate an alternative counterfactual: What would US life expectancy be if 2010-19 age-specific mortality improved like in other high-income countries? 🌍 We find the opposite pattern: 25-64 mortality is more important than 65+ for explaining counterfactual differences. (4)

BOTTOM LINE: Working-age mortality is still an important driver of US life expectancy stagnation globally, but as Abrams et al. rightfully point out, we need to explore older-age slowdowns too. 📉 (5)

We question whether this within-US counterfactual tells the whole story for 2 reasons: - 25-64 US mortality was already stagnating in 2000-09, so less room to get worse. - 2010-19 slowdowns in 65+ mortality improvements were common globally, but rising 25-64 mortality wasn’t. (3)

You are up to date.