Background <p>Precision prevention involves tailoring interventions to the unique characteristics of a group or individual to maximize their effectiveness. In this study, we examined the role of participant characteristics in the effectiveness of lifestyle interventions to optimize gestational weight gain (GWG).</p> Methods <p>We searched Medline, Embase, and PubMed, from inception up to March 2025, to identify randomized and non-randomized controlled trials of lifestyle interventions (diet, physical activity, or combined) commencing before or during pregnancy. Participant characteristics, including age, race/ethnicity, body mass index (BMI), employment status, fasting low- and high-density lipoprotein cholesterol (HDL-C) were assessed. Mean differences (MD) in GWG were pooled using the random-effect model. Meta-regression and subgroup analysis were conducted by participant characteristics (e.g., BMI).</p> Results <p>A total of 86 studies with 28,270 participants were included in this systematic review and meta-analysis. All lifestyle intervention types significantly reduced GWG. Combined lifestyle interventions initiated at first (MD −0.68; 95% confidence interval [CI]: −1.28, −0.07) and early second (13–17 weeks) trimester (MD −0.83; 95% CI: −1.46, −0.20) provide better effectiveness in optimizing GWG. Diet-only interventions significantly reduced GWG only in participants with normal BMI (MD −1.33 kg; CI: −1.75, −1.91) compared to the other BMI categories. Combined diet and physical activity interventions reduce excessive GWG in women with higher baseline HDL-C (β −0.04; 95% CI −0.06, −0.01).</p> Conclusions <p>Lifestyle interventions reduced excessive GWG, with possible differential effects by intervention initiation time, BMI, and HDL-C. Future studies should consider physiological as well as social characteristics, in line with a holistic framework for precision medicine.</p>

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Participant characteristics in the effectiveness of lifestyle interventions to optimize gestational weight gain: a systematic review and meta-analysis

  • Jessica A. Grieger,
  • Wubet Worku Takele,
  • Kimberly K. Vesco,
  • Leanne M. Redman,
  • Wesley Hannah,
  • Maxine P. Bonham,
  • Mingling Chen,
  • Sian C. Chivers,
  • Andrea J. Fawcett,
  • Nahal Habibi,
  • Kai Liu,
  • Eskedar Getie Mekonnen,
  • Maleesa Pathirana,
  • Alejandra Quinteros,
  • Rachael Taylor,
  • Gebresilasea G. Ukke,
  • Shao J. Zhou,
  • Deirdre K. Tobias,
  • Jordi Merino,
  • Abrar Ahmad,
  • Catherine Aiken,
  • Jamie L. Benham,
  • Dhanasekaran Bodhini,
  • Amy L. Clark,
  • Kevin Colclough,
  • Rosa Corcoy,
  • Sara J. Cromer,
  • Daisy Duan,
  • Jamie L. Felton,
  • Ellen C. Francis,
  • Pieter Gillard,
  • Véronique Gingras,
  • Romy Gaillard,
  • Eram Haider,
  • Alice Hughes,
  • Jennifer M. Ikle,
  • Laura M. Jacobsen,
  • Anna R. Kahkoska,
  • Jarno L. T. Kettunen,
  • Raymond J. Kreienkamp,
  • Lee-Ling Lim,
  • Jonna M. E. Männistö,
  • Robert Massey,
  • Niamh-Maire Mclennan,
  • Rachel G. Miller,
  • Mario Luca Morieri,
  • Jasper Most,
  • Rochelle N. Naylor,
  • Bige Ozkan,
  • Kashyap Amratlal Patel,
  • Scott J. Pilla,
  • Katsiaryna Prystupa,
  • Sridharan Raghavan,
  • Mary R. Rooney,
  • Martin Schön,
  • Zhila Semnani-Azad,
  • Magdalena Sevilla-Gonzalez,
  • Pernille Svalastoga,
  • Claudia Ha-ting Tam,
  • Anne Cathrine B. Thuesen,
  • Mustafa Tosur,
  • Amelia S. Wallace,
  • Caroline C. Wang,
  • Jessie J. Wong,
  • Jennifer M. Yamamoto,
  • Katherine Young,
  • Chloé Amouyal,
  • Mette K. Andersen,
  • Maxine P. Bonham,
  • Mingling Chen,
  • Feifei Cheng,
  • Tinashe Chikowore,
  • Sian C. Chivers,
  • Christoffer Clemmensen,
  • Dana Dabelea,
  • Adem Y. Dawed,
  • Aaron J. Deutsch,
  • Laura T. Dickens,
  • Linda A. DiMeglio,
  • Monika Dudenhöffer-Pfeifer,
  • Carmella Evans-Molina,
  • María Mercè Fernández-Balsells,
  • Hugo Fitipaldi,
  • Stephanie L. Fitzpatrick,
  • Stephen E. Gitelman,
  • Mark O. Goodarzi,
  • Jessica A. Grieger,
  • Marta Guasch-Ferré,
  • Nahal Habibi,
  • Torben Hansen,
  • Chuiguo Huang,
  • Arianna Harris-Kawano,
  • Heba M. Ismail,
  • Benjamin Hoag,
  • Randi K. Johnson,
  • Angus G. Jones,
  • Robert W. Koivula,
  • Aaron Leong,
  • Gloria K. W. Leung,
  • Ingrid M. Libman,
  • S. Alice Long,
  • William L. Lowe Jr,
  • Robert W. Morton,
  • Ayesha A. Motala,
  • Suna Onengut-Gumuscu,
  • James S. Pankow,
  • Maleesa Pathirana,
  • Sofia Pazmino,
  • Dianna Perez,
  • John R. Petrie,
  • Camille E. Powe,
  • Rashmi Jain,
  • Debashree Ray,
  • Mathias Ried-Larsen,
  • Zeb Saeed,
  • Vanessa Santhakumar,
  • Sarah Kanbour,
  • Sudipa Sarkar,
  • Gabriela S. F. Monaco,
  • Denise M. Scholtens,
  • Elizabeth Selvin,
  • Wayne Huey-Herng Sheu,
  • Cate Speake,
  • Maggie A. Stanislawski,
  • Nele Steenackers,
  • Andrea K. Steck,
  • Norbert Stefan,
  • Julie Støy,
  • Rachael Taylor,
  • Sok Cin Tye,
  • Gebresilasea Gendisha Ukke,
  • Marzhan Urazbayeva,
  • Bart Van der Schueren,
  • Camille Vatier,
  • John M. Wentworth,
  • Wesley Hannah,
  • Sara L. White,
  • Gechang Yu,
  • Yingchai Zhang,
  • Shao J. Zhou,
  • Jacques Beltrand,
  • Michel Polak,
  • Ingvild Aukrust,
  • Elisa de Franco,
  • Sarah E. Flanagan,
  • Kristin A. Maloney,
  • Andrew McGovern,
  • Janne Molnes,
  • Mariam Nakabuye,
  • Pål Rasmus Njølstad,
  • Hugo Pomares-Millan,
  • Michele Provenzano,
  • Cécile Saint-Martin,
  • Cuilin Zhang,
  • Yeyi Zhu,
  • Sungyoung Auh,
  • Russell de Souza,
  • Andrea J. Fawcett,
  • Chandra Gruber,
  • Eskedar Getie Mekonnen,
  • Emily Mixter,
  • Diana Sherifali,
  • Robert H. Eckel,
  • John J. Nolan,
  • Louis H. Philipson,
  • Rebecca J. Brown,
  • Liana K. Billings,
  • Kristen Boyle,
  • Tina Costacou,
  • John M. Dennis,
  • Jose C. Florez,
  • Anna L. Gloyn,
  • Maria F. Gomez,
  • Peter A. Gottlieb,
  • Siri Atma W. Greeley,
  • Kurt Griffin,
  • Andrew T. Hattersley,
  • Irl B. Hirsch,
  • Marie-France Hivert,
  • Korey K. Hood,
  • Jami L. Josefson,
  • Soo Heon Kwak,
  • Lori M. Laffel,
  • Siew S. Lim,
  • Ruth J. F. Loos,
  • Ronald C. W. Ma,
  • Chantal Mathieu,
  • Nestoras Mathioudakis,
  • James B. Meigs,
  • Shivani Misra,
  • Viswanathan Mohan,
  • Rinki Murphy,
  • Richard Oram,
  • Katharine R. Owen,
  • Susan E. Ozanne,
  • Ewan R. Pearson,
  • Wei Perng,
  • Toni I. Pollin,
  • Rodica Pop-Busui,
  • Richard E. Pratley,
  • Maria J. Redondo,
  • Rebecca M. Reynolds,
  • Robert K. Semple,
  • Jennifer L. Sherr,
  • Emily K. Sims,
  • Arianne Sweeting,
  • Tiinamaija Tuomi,
  • Miriam S. Udler,
  • Kimberly K. Vesco,
  • Tina Vilsbøll,
  • Robert Wagner,
  • Stephen S. Rich,
  • Paul W. Franks,
  • Jami Josefson,
  • Siew Lim

摘要

Background

Precision prevention involves tailoring interventions to the unique characteristics of a group or individual to maximize their effectiveness. In this study, we examined the role of participant characteristics in the effectiveness of lifestyle interventions to optimize gestational weight gain (GWG).

Methods

We searched Medline, Embase, and PubMed, from inception up to March 2025, to identify randomized and non-randomized controlled trials of lifestyle interventions (diet, physical activity, or combined) commencing before or during pregnancy. Participant characteristics, including age, race/ethnicity, body mass index (BMI), employment status, fasting low- and high-density lipoprotein cholesterol (HDL-C) were assessed. Mean differences (MD) in GWG were pooled using the random-effect model. Meta-regression and subgroup analysis were conducted by participant characteristics (e.g., BMI).

Results

A total of 86 studies with 28,270 participants were included in this systematic review and meta-analysis. All lifestyle intervention types significantly reduced GWG. Combined lifestyle interventions initiated at first (MD −0.68; 95% confidence interval [CI]: −1.28, −0.07) and early second (13–17 weeks) trimester (MD −0.83; 95% CI: −1.46, −0.20) provide better effectiveness in optimizing GWG. Diet-only interventions significantly reduced GWG only in participants with normal BMI (MD −1.33 kg; CI: −1.75, −1.91) compared to the other BMI categories. Combined diet and physical activity interventions reduce excessive GWG in women with higher baseline HDL-C (β −0.04; 95% CI −0.06, −0.01).

Conclusions

Lifestyle interventions reduced excessive GWG, with possible differential effects by intervention initiation time, BMI, and HDL-C. Future studies should consider physiological as well as social characteristics, in line with a holistic framework for precision medicine.