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. 2022 Jan 17;11(2):239. doi: 10.3390/foods11020239

Table 1.

Characteristics of the sample and relations with the follow status of nutrition-related content on Instagram.

Characteristics Follow Status of Nutrition-Related Content
No Yes p-Value
Gender (n = 896) % % %
Male (n = 185) 20.6 24.2 13.2 <0.001 a
Female (n = 705) 78.7 74.8 86.8
Other (n = 6) 0.7 1.0 0.0
Generation (n = 898) % % %
Generation-z (born 1997–2012) (n = 103) 11.5 12.0 10.4 <0.001 a
Millennials (born 1981–1996) (n = 679) 75.6 72.7 81.7
Generation-x (born 1965–1980) (n = 102) 11.4 13.0 8.0
Boomers (born 1946–1964) (n = 14) 1.6 2.3 0.0
Body Mass Index (n = 898) % % %
Severely underweight (<15) (n = 6) 0.7 0.8 0.3 0.544
Underweight (16–18.4) (n = 15) 1.7 1.3 2.4
Normal (18.5–24.9) (n = 516) 57.6 56.5 59.5
Overweight (25–29.9) (n = 234) 25.7 26.8 24.6
Obese ≥ 30 (n = 127) 14.3 14.6 13.1
Type of job (n = 898) % % %
Unable to work (n = 4) 0.5 0.5 0.3 0.460
Self-employed (n = 33) 3.5 3.6 3.8
Retired (n = 3) 0.3 0.5 0.0
Student (n = 255) 28.7 27.3 30.8
Unemployed (no looking job) (n = 15) 1.6 1.5 2.1
Unemployed (looking job) (n = 19) 2.2 1.6 3.1
Employed Part-time (less 40 h) (n = 82) 9.3 9.0 9.3
Employed Full-time (40 h) (n = 487) 53.9 56.0 50.5
Household income (n = 898) % % %
Below USD 10 K (n = 114) 13.0 13.0 13.1 0.774
USD 10–50 K (n = 185) 21.2 20.4 23.2
USD 50–100 K (n = 326) 37.1 38.3 34.6
USD 100–150 K (n = 137) 15.4 15.6 14.9
Over USD 150 K (n = 117) 13.3 12.8 14.2
Highest degree earned (n = 898) % % %
Doctorate Degree (n = 252) 28.3 29.1 26 0.120
Master’s Degree (n = 136) 14.9 15.1 15.2
Bachelor’s Degree (n = 388) 43.6 41.4 47.1
Associate Degree (n = 28) 3.2 3.4 2.8
Trade/Technical/Vocational training (n = 5) 0.6 0.8 0.0
Some college credit, no degree (n = 55) 5.8 5.7 6.9
High school graduate or equivalent (n = 33) 3.6 4.4 2.1
Smoking habits (n = 898) % % %
No (n = 839) 93.4 92.9 94.5 0.202
Yes (n = 21) 2.3 3.0 1.0
Occasionally (n = 38) 4.2 4.1 4.5
How long consulting Instagram (n = 794) Mean (SD) Mean (SD) Mean (SD) <0.001 a
Months 23.6 (24.1) 22 (24.2) 26.6 (23.7)
Hours per week on Instagram checking for nutrition or exercise (n = 879) % % %
Less than 1 h 29. 9 40.4 7.8 <0.001 a
Between 1–2.5 h 43.3 40.3 49.8
Between 2.5–5 h 12.6 10.2 17.7
More than 5 h 14.1 9.1 24.7
Instagram attitudes (n = 898)
Followed a nutritional influencer % % %
No (n = 505) 56.2 74.1 18.7 <0.001 a
Yes (n = 393) 43.8 25.9 81.3
Looked up the influencer’s accreditation % % %
No (n = 697) 77.6 87.7 56.4 <0.001 a
Yes (n = 201) 22.4 12.3 43.6
Checked the accuracy of the recipes % % %
No (n = 664) 73.9 87.4 45.7 <0.001 a
Yes (n = 234) 26.1 12.6 54.3
Hiring or have considered hiring a personal training % % %
No (n = 732) 81.5 85.2 73.7 <0.001 a
Yes (n = 166) 18.5 14.8 26.3
Impact on body image (n = 898) % % %
Positive (n = 268) 30.0 21.0 48.4 <0.001 a
Negative (n = 149) 16.0 16.1 17.6
Neither (n = 481) 54.0 62.9 33.9
Vigorous physical activity (n = 770) % % %
Less than 75 min per week (n = 107) 13.9 14.0 13.7 0.899
More than 75 min per week (n = 663) 86.1 86.0 86.3
Moderate physical activity (n = 751) % % %
Less than 150 min per week (n = 355) 47.3 47.8 46.1 0.654
More than 150 min per week (n = 396) 52.7 52.2 53.9
Hours of sitting (n = 898) % % %
Low risk (n = 315) 35.1 33.8 37.7 0.644
Medium risk (n = 411) 45.8 46.1 45.0
High risk (n = 89) 9.9 10.3 9.0
Very high risk (n = 83) 9.2 9.7 8.3

a significant difference between columns. K = $1000.