Table A3.

Provincial levels of insufficient physical activity during home quarantine induced by COVID-19 outbreak in mainland China, 2020.

	Men and Women				Men				Women
	Total Sample Size	Number of Insufficient Physical Activity	The Prevalence of Insufficient Physical Activity % (95% CI)	Rank	Total Sample Size	Number of Insufficient Physical Activity	The Prevalence of Insufficient Physical Activity % (95% CI)	Rank	Total Sample Size	Number of Insufficient Physical Activity	The Prevalence of Insufficient Physical Activity % (95% CI)	Rank
Qinghai	133	98	73.7% (66.2–81.2)	1	60	44	73.3% (61.7–83.3)	4	73	54	74.0% (64.4–83.6)	1
Xinjiang	137	95	69.3% (61.3–76.6)	2	48	36	75.0% (60.4–85.4)	2	89	59	66.3% (56.2–75.3)	5
Jilin	160	110	68.8% (61.3–75.6)	3	87	66	75.9% (66.7–85.1)	1	73	44	60.3% (49.3–71.2)	17
Heilongjiang	220	151	68.6% (62.7–74.5)	4	77	52	67.5% (57.1–77.9)	5	143	99	69.2% (61.5–76.2)	3
Tibet	91	61	67.0% (57.1–75.8)	5	39	29	74.4% (59.0–87.2)	3	52	32	61.5% (48.1–73.1)	14
Guangxi	330	219	66.4% (61.5–71.2)	6	124	73	58.9% (50.0–67.7)	11	146	206	70.9% (64.1–76.2)	2
Chongqing	178	115	64.6% (57.9–71.9)	7	99	64	64.6% (54.5–73.7)	6	79	51	64.6% (54.5–74.7)	8
Jiangxi	358	226	63.1% (57.8–68.2)	8	161	97	60.2% (52.8–67.7)	10	197	129	65.5% (58.9–72.1)	7
Ningxia	240	151	62.9% (56.3–69.2)	9	119	68	57.1% (47.9–65.5)	14	121	83	68.6% (60.3–76.9)	4
Liaoning	314	195	62.1% (56.7–67.2)	10	120	67	55.8% (46.7–64.2)	19	194	128	66.0% (59.3–72.7)	6
Guizhou	161	99	61.5% (53.4–68.3)	11	81	49	60.5% (49.4–71.6)	9	80	50	62.5% (51.3–72.5)	12
Shandong	952	584	61.3% (58.4–64.4)	12	460	266	57.8% (53.5–62.2)	13	492	318	64.6% (60.6–68.9)	9
Henan	685	416	60.7% (57.1–64.5)	13	350	203	58.0% (52.3–62.9)	12	335	213	63.6% (58.5–68.7)	10
Zhejiang	860	519	60.3% (57.2–63.7)	14	349	195	55.9% (50.4–60.7)	17	511	324	63.4% (59.3–67.7)	11
Tianjin	130	78	60.0% (51.5–68.5)	15	53	30	56.6% (43.4–69.8)	16	77	48	62.3% (51.9–74.0)	13
Hunan	544	326	59.9% (55.5–64.0)	16	258	158	61.2% (55.4–67.1)	8	286	168	58.7% (53.1–64.3)	20
Shanxi	290	169	58.3% (52.4–64.1)	17	142	79	55.6 (47.2–64.1)	20	148	90	60.8% (52.7–68.9)	15
Hebei	561	324	57.8% (53.8–61.5)	18	258	140	54.3 (48.1–60.5)	22	303	184	60.7% (55.1–66.3)	16
Shananxi	243	138	56.8% (49.8–63.0)	19	120	68	56.7% (48.3–65.8)	15	123	70	56.9% (48.8–65.9)	21
Guangdong	672	374	55.7% (51.9–59.5)	20	314	161	51.3% (45.5–56.7)	24	358	213	59.5% (54.7–64.8)	18
Gansu	178	99	55.6% (48.3–62.4)	21	74	38	51.4% (39.2–62.2)	23	104	61	58.7% (49.0–67.3)	19
Jiangsu	809	449	55.5% (52.2–58.7)	22	354	198	55.9% (50.8–60.7)	18	455	251	55.2% (50.3–59.3)	23
Hubei	361	198	54.8% (49.6–59.8)	23	147	81	55.1% (46.9–62.6)	21	214	117	54.7% (48.1–61.7)	24
Inner Mongolia	165	90	54.5% (47.3–61.8)	24	80	49	61.3% (51.3–72.5)	7	85	41	48.2% (37.6–58.8)	31
Sichuan	461	238	51.6% (47.1–56.0)	25	219	101	46.1% (39.7–53.4)	30	242	137	56.6% (50.4–62.8)	22
Yunnan	264	134	50.8% (45.1–56.4)	26	162	82	50.6% (42.6–58.6)	27	102	52	51.0% (41.2–59.8)	28
Anhui	629	316	50.2% (46.3–54.2)	27	337	172	51.0% (45.4–57.0)	25	292	144	49.3% (43.5–55.5)	29
Shanghai	957	480	50.2% (47.1–53.5)	28	465	225	48.4% (44.3–53.5)	28	492	255	51.8% (47.6–56.1)	27
Fujian	268	134	50.0% (44.0–56.0)	29	123	57	46.3% (37.4–54.5)	29	145	77	53.1% (44.8–60.7)	26
Hainan	139	69	49.6% (41.0–57.6)	30	65	33	50.8% (38.5–63.1)	26	74	36	48.6% (36.5–59.5)	30
Beijing	617	302	48.9% (45.1–52.7)	31	288	125	43.4% (37.2–49.0)	31	329	177	53.8% (48.3–59.3)	25
China (total)	12107	6957	57.5% (56.6–58.3)		5633	3106	55.1% (53.9–56.6)		6474	3851	59.5% (58.2–60.7)

Rank: The ranking of the prevalence of insufficient physical activity in different provinces.