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Table 1 Main characteristics of the selected studies, ordered by year of publication

From: Physical activity and gestational weight gain: a systematic review of observational studies

Authors, Years

Study design, period location

Population size

Outcomes

PA dimensions assessed

Statistical methods

Confounders / stratification

Main findings

Olson et al.

2003

[19]

Cohort study,

no information on the period

New York (US)

622 pregnant women

Excessive GWG

(according 2009 IOM guidelines)

Inadequate GWS

(according 2009 IOM guidelines)

Self-reported PA: Level PA

Multiple linear and logistic regression model

Maternal characteristics-BMI, the trimester that the prenatal questionnaire was completed, the weeks of gestation, the weeks from the first to the last weight measurement, the weeks from the last measurement to delivery.

Physical activity was significantly related to excessive but not inadequate GWG.

Haakstad et al. 2007

[20]

Cross-sectional survey

no information on the period

Oslo (Norway)

467 pregnant women

Excessive GWG

(According 2009 IOM guidelines)

Inadequate GWG (< 16 kg)

Overweight (BMI > 25)

Self-reported PA

PA level,

Sedentary activities,

PA duration

The x2-test

Maternal characteristic- none

Women who exercised regularly had lower weight gain than inactive women.

Stuebe et al.

2009

[21]

Cohort study

no information on the period

Massachusetts (US)

1388 pregnant women

Total GWG

Excessive GWG

(According 2009 IOM guidelines)

Self-reported PA

-PA duration

-PA level

-Type of PA

- Sedentary

Multivariable logistic and linear regression

Maternal characteristic- Pre-pregnancy BMI, age, race/ethnicity, smoking status, gestational age at delivery, and nausea in the first trimester of pregnancy;

Vigorous activity, walking,

and total activity during pregnancy were inversely associated with excessive GWG

Walking and vigorous activity were also inversely associated with total

GWG.

Cohen et al.

2009

[22]

Ad hoc recruitment of pregnant women

From August 2008 to December 2008 Ottawa and Montreal (Canada)

81 pregnant women

Achieving recommanded GWG

(According 2009 IOM guidelines)

Self-reported PA

-PA duration

Univariate logistic regressions

Maternal characteristics: none

The chance for pregnant women to achieved their recommended

GWG increase significantly for those who accumulated > 8.5 MET-hr/wk compared to those accumulated < 8.5 MET-hr/wk.

Melzer et al.

2010

[23]

Observational study

no information on the period

Geneva, (Switzerland)

44 pregnant women

Total GWG

Objective PA measure

- PA level

t-test

Maternal characteristic: none

There is no difference between Active and inactive women in term of body weight gain

Abeysena et al.

2011

[24]

Cohort study

May 2001 – April 2002

Sri Lanka

580 pregnant women.

Inadequate GWG

(< 2009 IOM guidelines)

Self-reported PA

- Type of PA

Multivariate logistic regression

Maternal characteristics- Sleeping during 2nd, 3rd or both trimesters, multiparity, sex of newborn, per capita monthly income, Period of gestation, Period of gestation at recruitment, BMI, gestational age, BMI*Sleeping

Standing and walking more than 5 h per day during the second trimester increase the risk of inadequate weight gain during pregnancy.

Hong Jiang et al.

2012

[25]

Cohort study

2005 to 2007

Changzhou, Jiangsu Province, (China)

862 pregnant women

Total GWG

Excessive GWG

(According 2009 IOM guidelines)

Objective measure of PA

- PA level

Multiple linear and logistic regression

Maternal characteristics- Age, educational level, job type, the families’ income, pre-pregnancy BMI, passive tobacco exposure and food energy intake

others: gestational age, newborns sex

The GWG decrease among active women compared to the sedentary women during the 2nd and the 3rd trimesters.

The risk of excessive GWG decrease significantly among the active women compared to the sedentary women during the 2nd and the 3rd trimester.

Monpetit et al.

2012

[26]

Prospective study

From August to December 2008

Ottawa and Montreal, (Canada)

59 pregnant women

Total GWG

Self-reported PA:

- PA level

Objective PA measure

-Daily steps

Hierarchical

multiple regression analyses

Pearson correlation coefficients

Maternal characteristic- Energy intake

Pre-pregnancy BMI

The step is no significant predictor of GWG.

no significant correlation between GWG and steps.

Cohen et al.

2013

[27]

Prospective study

no information on the period

Ottawa and Montreal

(Canada)

61 pregnant women

Total GWG

Rate of weight gain (kg/week)

Self-reported PA

- PA duration

- PA intensity

- Type of PA

- Sedentary

Objective PA measure

Daily steps

Pearson correlation coefficients, PCA

Maternal characteristics: none

Results suggest that walking and pedometer steps were associated with the rate of GWG

Kraschnewski et al.

2013

[28]

Cohort study

From January 2009 to April 2011

Pennsylvania (US)

2603 Pregnant women

Excessive GWG

(According 2009 IOM guidelines)

Self-reported PA

- PA duration

Multivariable logistic regression

Maternal characteristic- Prepregnancy weight category, age, Race/Ethnicity, Education, Poverty Status, Marital Status, Gestational age at delivery, Smokes Daily

Results show that meeting the physical activity guidelines during pregnancy was significantly associated with a decrease risk of exceeding GWG recommendations.

Restall et al.

2014

[29]

Cohort study

From November 2004 and February 2011

Australia, New Zealand, Ireland,

1950 pregnant women

Excessive GWG

(According 2009 IOM guidelines)

Self-reported PA

Descline exercise during pregnancy

Multivariate logistic regression

Maternal characteristics- Age, BMI, smoke, Mother’s birth weight, Immigrant in past 5 years, fertility treatment, fish or seafood intake, limiting behavior score, sleep

Others: Centre

There is a significant increase risk of GWG among women who decreased their level of exercise during pregnancy compared to those who unchanged.

Ruifrok et al., 2014

[30]

Randomized controlled trials analysed as a cohort

From 2005 2006

Amsterdam

(Netherlands)

111 pregnant women

Rate of Weight gain (kg/week)

Objective PA measure

- PA level

- Sedentary

Multivariate regression models

Maternal characteristic- BMI, parity, gestational age

Others: intervention group

There is no significant association between MVPA or sedentary behavior at 15 weeks with GWG. No significant associations were

found for changes in PA and sedentary behavior from 15 to 32–35 weeks of gestation.

Chasan et al.

2014

[31]

Cohort study

From 2006 to 2011

Western Massachusetts

(US)

1297 pregnant women

-Total GWG

- Rate of Weight gain (kg/week)

-Inadequate GWG

- Excessive GWG

(According 2009 IOM guidelines)

Self-reported PA

-PA duration

-PA intensity

- Type of PA

- Sedentary

- Met PA guidelines

Multinomial logistic regression

Linear regression models

Maternal characteristics-pre-pregnancy BMI, age, parity, smoking

There is no significant association between inadequate and excessive GWG and late pregnancy physical activity. However, the total and rate of GWG increase significantly with total physical activity and with physical activity guideline.

Schlaff et al.

2014

[32]

Cohort study

From 2008 to2012

Michigan

(US)

135 pregnant women

Excessive GWG

(According 2009 IOM guidelines)

Self-reported PA

- LTPA level

Multivariate logistic regression model

Maternal characteristics: WIC

Results suggest that LTPA level was not significantly related to appropriateness of GWG.

Schlaff et al.

2014

[33]

Cohort study

from September 1998 to June 2004

Michigan (US)

449 pregnant women

Inadequate GWG

Excessive GWG

(According 2009 IOM guidelines)

Self-reported PA

-LTPA intensity

Polytomous logistic regression

Maternal characteristics: parity, BMI

Results suggest that LTPA and GWG are not significantly associated.

Merkx et al.

2015

[34]

Cross-sectional survey

From September to November 2012

Netherlands

396 pregnant women

Inadequate GWG

- Excessive GWG

(According 2009 IOM guidelines)

Self-reported PA

- motivation healthy PA,

- Decline in PA

Multinomial logistic regression

Maternal characteristics-

Vegetable consumption, age, gestational age, parity, family income education level, smoking behavior,s atisfied pre-pregnancyweight, perceived BMI

A decline in PA was associated with Excessive GWG.

Ebrahimi et al.

2015

[35]

Cross-sectional study

no information on the period

Rafsanjan city (Iran)

308 pregnant women

Total GWG

Inadequate GWG

Excessive GWG

(According 2009 IOM guidelines)

Self-reported PA

- PA duration

- Sedentary

Multivariate Logistic regression models and cumulative logit model

Maternal characteristics- age, education level, and household income, dietary intake, BMI, number of pregnancy.

There is no significant association between PA duration and GWG.

Sitting time was positively.

associated with gestational weight gain, but the association did not persist in the cumulative logit analysis.

Yong et al.

2016

[36]

Cross-sectional study

From November 2010 and April 2012

Selangor and Negeri Sembilan (Malaysia)

589 pregnant women

- Inadequate rate of GWG

- Excessive rate of GWG

(According 2009 IOM guidelines)

Self-reported PA

- PA level

Multinomial logistic regression

Maternal characteristics- age, ethnicity, parity,

Women with low PA level were more likely to have excessive GWG, but the result were no significant.

Collings et al.

2020

[37]

Cohort study

From Mars 2007 to December 2010

England

2702 pregnant women

A

Total GWG

Self-reported PA

- PA level

Multivariate Linear regression

Maternal characteristics- age, gestational age at measurement, socioeconomic status, parity, smoking, alcohol consumption, cafeine intake, sleep quality, use of dietary supplements, early-pregnancy BMI, and the number of weeks between mid- and late- pregnancy weight measurements.

Stratified: for white British and Pakistani-origin women, separately

No association was found between PA level and GWG.

Anh Vo Van Ha et al.

2020

[38]

Cohort study

From 2015 to 2017

Vietnam

1873 pregnant women

Total GWG

Self-reported PA

- PA duration

- PA intensity

- Sedentary

Multiple linear regression models

Maternal characteristic-

age, education, gestational diabetes mellitus, history of health-related problems, total energy intake during pregnancy, parity, employment, gestational age, and pre-pregnancy BMI

Women with high PA level, intensity and household/caregiving activities, and occupational PA have significantly less GWG.

Result suggest also women with longer sitting time have significant increase GWG.

Sun et al., 2021

[39]

Cohort study

From August 2016 to April 2017

Taiwan

747 pregnant women

Excessive GWG

(According 2009 IOM guidelines)

Self-reported PA

- Decline in PA

Multivariate logistic regression model

Maternal characteristic- age, Pre-pregnancy BMI

A decline in PA was associated with Excessive GWG.

  1. GWG = gestational weight gain, PA = Physical activity, LTPA = Leisure time physical activity, BMI = body mass index, MET = Metabolic Equivalent of Task, WCI = lower socio-economic status, IOM guidelines = The Institute of Medicine guidelines