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Table 3 Comparison of reported dairy consumption across different geographical location groups

From: Dairy consumption in adults in China: a systematic review

Author, year

Population size

Survey

(location, year)

Location group

(number, age)

Reported intake

Key findings

Zhai et al. 2007 [56]

30666

Multiple cities (provinces) A;

1989, 1991, 1993, 1997, 2000, 2004

Total population,

(age range: 18 - 45 years)

Location groups (year, number)a,

Urban: 1989 (806), 1991 (851), 1993 (671), 1997 (717), 2000 (630), 2004 (599)

Rural: 1989 (2731), 1991 (3015), 1993 (2829), 1997 (2565), 2000 (2645), 2004 (2272)

Total dairy,

Total sample: 1989 (2 g/d),

1991 (4 g/d), 1993 (3 g/d),

1997 (3 g/d), 2000 (6 g/d),

2004 (12 g/d);

Urban: 1989 (5 g/d), 1991 (5 g/d),

1993 (7 g/d), 1997 (9 g/d),

2000 (17 g/d), 2004 (25 g/d)

Rural: 1989 (1 g/d), 1991 (2 g/d),

1993 (1 g/d), 1997 (1 g/d),

2000 (2 g/d), 2004 (6 g/d)

Milk consumption increases tended to be dominated by residents living in different locations. Urban consumers consumed more dairy than people living in rural area, and were more likely to have increased intake of milk.

Fuller et al. 2007 [38]

942b c

Beijing, Shanghai, Guangzhou;

2001

Total population,

(age range: ≤ 60 years)

Location groupsa,

North: Beijing, n = 300

South: Shanghai, n = 300,

Guangzhou, n = 342

Milk, yogurt, milk powder, ice cream,

Milk,

Beijing, 56.83 kg/y

Guangzhou, 27.35 kg/y

Shanghai, 51.45 kg/y

Yogurt,

Beijing, 17.08 kg/y

Guangzhou, 7.06 kg/y

Shanghai, 7.64 kg/y

Milk powder,

Beijing, 0.84 kg/y

Guangzhou, 1.14 kg/y

Shanghai, 0.68 kg/y

Ice cream,

Beijing, 4.08 kg/y

Guangzhou, 2.41 kg/y

Shanghai, 0.59 kg/y

Beijing had the significant higher purchases of yogurt (P-value not given). Milk consumption per capita in Guangzhou was only around half of the consumption in other two cities. The consumers in Beijing had higher amount of intake of ice cream than Shanghai and Guangzhou.

Zhang et al. 2008 [68]

N/R

National;

1982, 1992, 2002

Total population,

N/R

Location groupsad,

Urban

Rural

Total dairy,

Urban: 1982 (9.9 g/d), 1992 (36.1 g/d), 2002 (65.8 g/d);

Rural: 1982 (7.3 g/d), 1992 (3.8 g/d), 2002 (11.4 g/d)

People living in urban area consumed more dairy products than people living in rural area.

Li et al. 2011 [67]

68962

National;

2002

Total population,

N/R

Location groupsade,

National

Urban

Rural

North

South

Coastal

Inland

Milk,

National: 26.60 g/d

Urban: 65.80 g/d

Rural: 11.40 g/d

North: 33.38 g/d

South: 22.24 g/d

Coastal: 32.65 g/d

Inland: 25.62 g/d

Compared urban residents, rural population reported lower milk intakes. People living in northern and coastal areas had higher intakes of milk than people living in south and inland respectively. (The P-value was not given.)

Yin et al. 2012 [71]

97187

National;

2010

Total population,

(age range: ≥ 18 years)

Location groupsa,

East, n = 14591

Central, n = 13838

West, n =16065

Total dairy,

(median intake)

East, 57.1 g/d

Central, 35.7 g/d

West, 35.7 g/d

Eastern residents had significant higher intakes of dairy products than people living in central and western. (P < 0.01)

Zong et al. 2014 [79]

2091

Beijing, Shanghai; 2005

Total population,

(age range: 50 - 70 years)

Location groupsa,

Urban, n = 876

Rural, n = 1215

North, n = 953

South, n = 1138

Total dairy,

Amount of intake not reported

People from northern and urban area had higher dairy consumption.

Cheng et al. 2015 [45]

1018

Beijing, Harbin; 2010

Total population,

N/R

Location groupsa,

Beijing, n = 576

Harbin, n = 442

Milk,

National: 13.98 kg/y

Beijing : 78 kg/y

Harbin : 56 kg/y

The average per capita milk consumption in Beijing is higher than in Harbin. The consumption in both cities were much higher than consumption at the national level (13.98 kg).

He et al. 2016 [46]

N/R

N/R;

2012

Total population,

N/R

Location groupsad,

Big city

Small and medium sized city

Normal rural area

Poor rural area

(The classification of different areas was not given.)

Milk,

Big city: 64.3 g/d

Small and medium sized city: 24.2 g/d

Normal rural area: 9.1 g/d

Poor rural area: 4.9 g/d

There were considerable differences in milk consumption in different areas. The residents living in big cities consumed much more milk than people who lived in small or medium sized cities. Compared with citizens, people in rural areas had less intakes of milk.

Tian et al. 2017 [47]

14452

Multiple cities (provinces) B,

2004, 2006, 2009, 2011

Total population,

42.8 (10.3)f years

Location groupsa,

Urban, n = 4610

Rural, n = 9842

Total dairy,

Urban: 30.9 (72.1)f g/d

Rural: 5.1 (36.7)f g/d

Urban residents had significantly higher consumption of milk and its products than the rural population. (P < 0.05)

Wang et al. 2017 [63]

4221

Multiple cities (provinces) B;

1989, 1991, 1993, 1997, 2000, 2004, 2006, 2009, 2011

Total population,

(age range: 18 - 59 years)

Location groupsa,

Urban, n = 3231

Rural, n = 990

Total dairy,

Urban

1989, 5.24 (38.64)f g/d

1991, 9.85 (50.21)f g/d

1993, 10.98 (50.90)f g/d

1997, 8.74 (49.46)f g/d

2000, 16.27 (62.39)f g/d

2004, 32.64 (86.45)f g/d

2006, 26.50 (88.06)f g/d

2009, 23.98 (70.64)f g/d

2011, 52.52 (115.47)f g/d

Rural

1989, 0.51 (9.37)f g/d

1991, 0.88 (18.25)f g/d

1993, 0.42 (9.51)f g/d

1997, 0.59 (10.46)f g/d

2000, 1.52 (16.57)f g/d

2004, 4.70 (38.91)f g/d

2006, 6.27 (54.02)f g/d

2009, 5.36 (49.69)f g/d

2011, 8.53 (43.38)f g/d

There was significant difference between dairy consumption of urban and rural population in 1989-2011. (P < 0.0001)

He et al. 2020 [72]

84880

National;

2014 - 2015

Total population,

60.68 (10.3)f years

Location groupsa,

Urban, n = 40660

Rural, n = 44220

Milk,

Low milk consumption

Urban: n = 34980 (45.3%)

Rural: n = 42242 (54.7%)

High milk consumption

Urban: n = 5680 (74.17%)

Rural: n = 1978 (25.83%)

Between the population with low and high consumption of milk, it shows significant differences in living location (urban and rural).

Na et al. 2022 [64]

14711

Multiple cities (provinces) B; 1991, 1993, 1997, 2000, 2002, 2004, 2006, 2009, 2011

Total population,

42.0 (32.0, 54.0)g

Location groupsa,

East, n = 5616

Centra, n = 5450

West, n = 3645

Urban, n = 5526

Rural, n = 9185

Total dairy,

0.1 - 100 g/d

East: n = 1086 (19.3%)

Centra: n = 688 (12.6%)

West: n = 267 (7.33%)

Urban: n = 1386 (25.1%)

Rural: n = 655 (7.13%)

> 100 g/d

East: 710 (12.6%)

Centra: 69 (1.27%)

West: 123 (3.37%)

Urban: 742 (13.4%)

Rural: 160 (1.74%)

Eastern residents had significant higher percentage of dairy consumer than central and western. (P < 0.001) There was significant higher percentage of dairy consumers in urban area compared to rural area. (P < 0.001)

Wang et al. 2022 [65]

6320

Multiple cities (provinces) D;

1991, 2000, 2015

Total population,

Location groupsa,

Urban, n = 2482

Rural, n = 3838

Total dairy,

Urban: 40.4 g/d

Rural: 10.6 g/d

Urban residents consumed higher amount of dairy than people living in rural. (P < 0.05)

  1. N/R, Not reported; Multiple cities (provinces) A, Liaoning, Heilongjiang, Henan, Shandong, Hubei, Hunan, Jiangsu, Guangxi, Guizhou; Multiple cities (provinces) B, Guangxi, Guizhou, Henan, Heilongjiang, Hubei, Hunan, Jiangsu, Liaoning, and Shandong; three municipalities of Beijing, Chongqing, and Shanghai were included in 2011; Multiple cities (provinces) D, Guangxi, Guizhou, Henan, Heilongjiang, Hubei, Hunan, Jiangsu, Liaoning, and Shandong; three provinces (Shaanxi, Yunnan, and Zhejiang) were added in 2015
  2. aMean age was not reported; bNumber of subjects= sample means of household size × number of households; cStudy includes participants aged under 18, and we were not able to separate the age group < 18 years. However, the majority of the participants were adults.; dNumber was not reported; eThe Huai River-Qinling Mountains line is generally regarded as the geographical dividing line between North China and South China. The provinces in the North of the Huai River-Qinling Mountains line were put in the North category, while these in the South were in the South category. The Coastal and Inland provinces were divided according to their location.; fMean and standard deviation; gMedian (interquartile range)